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Chok Ling Ying - User Interface Designer

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Chok Ling Ying - User Interface Designer

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User interface (UI) design is the process designers use to build interfaces in software or computerized devices, focusing on looks or style. Designers aim to create interfaces which users find easy to use and pleasurable. UI design refers to graphical user interfaces and other forms—e.g., voice-controlled interfaces.

As a UX Designer you will contribute to product vision and collaborate with a team that defines and designs user interfaces, systems, and interaction, visual, motion, and voice design patterns. You must be proactive, creative, flexible, resilient, and able to handle high levels of ambiguity.

Job Descriptions:

Currently working towards a Bachelor’s or Master's Degree in Design, Human-Centered Interaction, Statistics, Psychology, Computer Science, or other equivalent discipline, with an expected conferral date between 08/01/2021 and 08/01/2022 and/or completed your degree no more than 12 months ago

Previous experience working in a collaborative team environment to deliver high-quality design solutions

Creative materials demonstrating past work experience and deliverables (e.g., study plans, reports, portfolios)

Job Responsibilities:

Design thoughtful, beautiful, and useful software user interfaces and experiences in a team environment.

Create user-centered designs by considering market analysis, customer feedback, site metrics, and usability findings.

Use business requirements, user and market research to assist in developing scenarios, use cases, and high-level requirements.

Design the UI architecture, interface, and interaction flow of applications and experiences.

Develop conceptual diagrams, wireframes, visual mockups, click-throughs, and prototypes.

Develop and maintain detailed user-interface specifications and design patterns.

Work with program managers to plan projects for effective delivery while maintaining high standards for design.

Be a passionate and effective advocate for design with non-design audiences.

Write effectively to communicate design rationales and benefits to Amazon customers.

Experience with consumer brand experience design and a understanding of storytelling

Visual design expertise demonstrated through mockups and style guides

Additional design skills in related fields, including film-making, motion design, and prototyping

Experience with design, wire-framing, and prototyping tools

Experience in designing cross platform experiences

Excellent communication, presentation, and interpersonal skills

Ability to extract complex concepts and quickly turn around rigorous flows and mock-ups reflecting a range of options

Ability to drive the design review cycle and close on design requirements independently

Ability to proficiently present design solutions to stakeholders in design, product management, and engineering

Job Requirements:

A strong portfolio showcasing extensive understanding of design principles and advanced UI/UX skills

5+ years work experience in UI/UX , with a focus on mobile

Experience in providing overall creative direction for larger projects

Strong understanding of usability design principals

Expert in Figma and Adobe Creative Suite

Flexibility to work under a tight timeline

File organization and time management skills

Interest in the mobile app market and social media platforms

Excellent communication skills, written and verbal; ability to communicate in a professional and positive manner

Must submit a resume and must include a link to your portfolio with samples of your work demonstrating the above requirements

Source:
From indeed job post by Amazon and TikTok
https://www.indeed.com/q-Ui-Ux-Designer-jobs.html?vjk=c9c1d41eaf99fa88

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Database administrators employ specialized software to organize and keep track of data. The software can be associated with software configuration, security and performance when applicable. These professionals frequently diagnose and solve complex IT issues related to the data infrastructure to ensure an organization's data is safe, accessible and easy to navigate.

Database administrator
Responsibilities:

working with database software to find ways to store, organise and manage data.

troubleshooting.

keeping databases up to date.

helping with database design and development.

managing database access.

designing maintenance procedures and putting them into operation.

Database administrator
Requirements:
Database administrators typically need to earn a Bachelor's Degree in Computer Science or Management Information Systems. They often start as a database analyst or a developer before moving into this role so they can get the experience in data collection and working within a network's databases.

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www.indeed.com needs to review the security of your connection before proceeding.

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Students who are under Bachelor’s Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.

DEGREE LEVEL 1
Students will learn fundamental skills required by every IT professional, and the basic understanding of programming, problem solving skills, algorithmic skills, mathematical techniques and systems analysis and design. Some specialised modules will provide students with basic knowledge of underlying computer systems such as computer architecture, operating systems, networking and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.
COMMON MODULES

Digital Thinking and Innovation

Intercultural Awareness and Cultural Diversity

System Analysis & Design

Python Programming

Mathematical Concepts for Computing

Operating Systems & Computer Architecture

Introduction to Networking

Introduction to Databases

SPECIALISED

Introduction to Object Oriented Programming

DEGREE LEVEL 2
A broader range of skills will be learnt, in which students will gain a better understanding of design paradigms, languages, and algorithms used for developing large-scale and complex software systems. They will gain solid understanding of software lifecycle, and methodologies for specification, design, development, testing, evaluation, analysis and maintenance of software systems. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.
COMMON MODULES

Object Oriented Development with Java

System Development Methods

Programming for Data Analysis

Creativity & Innovation

Research Methods for Computing and Technology

SPECIALISED MODULES

Computer Theory

Data Structures

Design Methods

Requirements Engineering

Software Architecture

Enterprise Systems

DEGREE LEVEL 3
Students will make use of their previous studies and industrial experience to extend their familiarity in the field of software engineering and to refine their personal and professional development. Students will move further into system design methods that help them improve on software design, organisation and maintainability to produce concise and powerful software applications. A final year project requires them to investigate and develop a solution for a real-world problem - they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.
COMMON MODULES

Innovation Management & New Product Development

Project Management

SPECIALISED MODULES

Advanced Programming Language Concepts

Algorithmics

Design Patterns

Software Quality Engineering

Designing & Developing Applications on Cloud

Investigations in Software Engineering

Software Engineering Project

CAREER OPTIONS

Software Engineer

Systems Analyst

Project Manager

Software Consultant

Programmer

Chief Technology Officer (CTO)

Application Engineer

Software Test Engineer

Software Quality Assurance (QA) Specialist

R&D Specialist

Software Architect

Systems Integration Engineer

Senior Technical Lead

Product Manager

Solutions Architect

Development Manager

Senior System Designer

Admission Requirements
STPM
- 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject.
OR
- 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Additional Mathematics at SPM.
OR
- 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Mathematics and any one Science or ICT subjects at SPM. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
A-LEVEL
- 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject.
OR
- 2 Passes in A-Level with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or equivalent.
OR
- 2 Passes in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/O-Level/IGCSE or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
UEC
- 5 Grade B Passes in UEC in Science Stream in any subject including Mathematics and one Science or ICT subject.
OR
- 5 Grade B Passes in UEC in any subject including Additional Mathematics.
OR
- 5 Grade B Passes in UEC in any subjects with Credit in Mathematics and Science or ICT
MATRICULATION
- A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or its equivalent.
OR
- A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 and a Credit in Mathematics and Science or ICT subject at SPM/IGCSE/O-Level or its equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

Source:
https://www.apu.edu.my/our-courses/undergraduate-studies/school-computing-technology/bsc-hons-software-engineering

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APU-DMU DUAL DEGREE PROGRAMME

Students who are under Bachelor's Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.

To know more about APU-DMU Dual Scheme, please click HERE

ADMISSION REQUIREMENTS
Any qualification that APU accepts as equivalent to the above. Note:Students who do not have a Credit in Additional Mathematics in SPM/O-Level/IGCSE but have an acceptable achievement in Mathematics related subjects during the Foundation which may be equivalent to SPM/O-Level/IGCSE Additional Mathematics, can be accepted into Degree Programmes. Students can be given preferential entry for ICT related subject in SPM/O-Level/ IGCSE.

Familiarity with the tools and rigorous methodologies used to develop mission-critical and safety-critical software systems.

The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop large-scale and complex software systems.

A deep appreciation of the importance of software architecture, testing, documentation, and maintainability.

DIRECT ENTRY TO LEVEL 1 OF THE DEGREE:

STPM
* 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject.
OR
* 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Additional Mathematics at SPM.
OR
* 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Mathematics and any one Science or ICT subjects at SPM. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

A-LEVEL
* 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject.
OR
* 2 Passes in A-Level with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or equivalent.
OR
* 2 Passes in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/O-Level/IGCSE or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

UEC
* 5 Grade B Passes in UEC in Science Stream in any subject including Mathematics and one Science or ICT subject.
* 5 Grade B Passes in UEC in any subject including Additional Mathematics.
* 5 Grade B Passes in UEC in any subjects with Credit in Mathematics and Science or ICT Subject at SPM or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

* A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or its equivalent.

Note:The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level.

OR
* A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 and a Credit in Mathematics and Science or ICT subject at SPM/IGCSE/O-Level or its equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

DIRECT ENTRY TO LEVEL 2 OF THE DEGREE:

ICT RELATED DIPLOMAS

* Diploma with a minimum CGPA of 2.50.

Note:Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board.

This programme is specifically designed to provide students with:

Students will learn fundamental skills required by every IT professional, and the basic understanding of programming, problem solving skills, algorithmic skills, mathematical techniques and systems analysis and design. Some specialised modules will provide students with basic knowledge of underlying computer systems such as computer architecture, operating systems, networking and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.

A broader range of skills will be learnt, in which students will gain a better understanding of design paradigms, languages, and algorithms used for developing large-scale and complex software systems. They will gain solid understanding of software lifecycle, and methodologies for specification, design, development, testing, evaluation, analysis and maintenance of software systems. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.

Creativity & Innovation

Research Methods for Computing and Technology

Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.

Students will make use of their previous studies and industrial experience to extend their familiarity in the field of software engineering and to refine their personal and professional development. Students will move further into system design methods that help them improve on software design, organisation and maintainability to produce concise and powerful software applications. A final year project requires them to investigate and develop a solution for a real-world problem - they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.
​* Fees stated here do not include Deposits and other Miscellaneous Fees. Please refer to Fee Guide for details.

(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency.)

Software Engineer

Systems Analyst

Project Manager

Software Consultant

Programmer

Chief Technology Officer (CTO)

Application Engineer

Software Test Engineer

Software Quality Assurance (QA) Specialist

R&D Specialist

Software Architect

Systems Integration Engineer

Senior Technical Lead

Product Manager

Solutions Architect

Development Manager

Senior System Designer

(R2/481/6/0714)(04/26)(MQA/FA0366)
All information is correct at the time of publication, but is subject to change in the interest of continuing improvement.

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This programme is specifically designed to provide students with: Familiarity with the tools and rigorous methodologies used to develop mission-critical and safety-critical software systems. The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop large-scale and complex software systems. A deep appreciation of the importance

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A member of the special forces needs to understand special operations, of course, it also covers the SK we have learned.Because sometimes, like those terrorists who want to hack into the high-level secrets of the government or military bases, we will do the defense and lock the enemy’s seat for capture.

Special Forces Responsibilities :
-Computer Science majors who become cyber operations officers conduct offensive and defensive cyber operations.
-operate, maintain and defend computer and communications networks.
-provide command and control capabilities
-contribute to the development and acquisition of new systems

Education and Experience Requirements:

Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.

Apply computer science theory and software development fundamentals to produce computing-based solutions.

Apply security principles and practices to maintain operations in the presence of risks and threats.

Resources:
-https://www.usafa.edu/academic/computer-science/
-https://www.glassdoor.com/Jobs/US-Army-computer-science-Jobs-EI_IE41322.0,7_KO8,24.htm

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Systems analyst is an information technology profession that specializes in analyzing, designing and implementing computer systems. They will analyze system problems, design and test standards and find solutions.

Computer systems require a high degree of precision to be designed. So, the job of a systems analyst is very important in ensuring that the system built works well and meets the needs of the customer.

System Analyst Responsibilities :

Implements computer system requirements by defining and analyzing system problems; designing and testing standards and solutions.

Defines application problem by conferring with clients; evaluating procedures and processes.

Develops solution by preparing and evaluating alternative workflow solutions.

Controls solution by establishing specifications and coordinating production with programmers.

Validates results by testing programs.

Ensures operation by training client personnel and providing support.

Provides reference by writing documentation.

Accomplishes information systems and organization mission by completing related results as needed.

Systems Analyst Qualifications / Skills:

C

COBOL

Software design, documentation, testing, and maintenance

Hardware requirements

Teamwork

General consulting skills

Software architecture

Education, Experience, and Licensing Requirements:

Bachelor’s degree in computer science, mathematics, or engineering

Experience in IT or database administration a plus

Experience with Java GUI front-end development, SQL, Postgres, or equivalent database tools

Experience with Agile software development using JIRA

Experience with Zeek (formerly Bro)

Experience in: Multiple OS platforms with strong emphasis on Linux (CentOS, Red Hat, Ubuntu), Mac OS X, and Windows systems

Experience with OS-level scripting environment, such as Bourne shell

Experience working in a research environment that relies extensively on Open Source solutions

In-depth knowledge of the TCP / IP protocol suite; security architecture; securing and hardening Operating Systems; Networks; Databases; and Applications

Knowledge of the Incident Response life-cycle, working independently to investigate and effectively respond to cyber security incidents

Thorough understanding of the threat and attack landscape, attack vectors, vulnerabilities, and how they are leveraged by malicious actors

Security certifications, Database Administrator certifications

https://hiring.monster.com/employer-resources/job-description-templates/systems-analyst-job-description/

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An IT technician collaborates with support specialists to analyze and diagnose computer issues. They also monitor processing functions, install relevant software and perform tests on computer equipment and applications when necessary. They may also train a company's employees, clients and other users on a new program or function as well.

IT Technician Requirements:

Proven work experience in IT support or IT technician roles

Associate degree or advanced apprenticeship in Computer Science or relevant disciplines

In-depth knowledge of Windows, Mac, Linux and UNIX operating systems

Practical experience with internet and network security protocols

Problem-solving skills

Technical documentation skills

Organisational and interpersonal skills

IT Technician Responsibilities:

Serving as the first point of contact for IT support within the organisation

Installing, configuring and maintaining software and hardware components of computer and network systems

Diagnosing and troubleshooting software and hardware issues

Repairing and replacing damaged computer and network components

Ensuring the security of client and server computers by installing and upgrading antivirus and firewall software

Supporting people whenever they encounter challenges with computers and network devices

Maintaining and updating technical documentation regularly

Testing new hardware and software before full-scale installation

Source:
https://uk.indeed.com/hire/job-description/it-technician

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A computer programmer, sometimes called a software developer, a programmer or more recently a coder (especially in more informal contexts), is a person who creates computer software. The term computer programmer can refer to a specialist in one area of computers or to a generalist who writes code for many kinds of software.

A programmer's most often-used computer language (e.g., Assembly, COBOL, C, C++, C#, JavaScript, Lisp, Python, Java) may be prefixed to the term programmer. Some who work with web programming languages also prefix their titles with web.

Computer Programmer Job Responsibilities:

Code and test programming for software and mobile apps.

Develop and deploy computer applications.

Execute code builds to test and production environments.

Fix bugs in existing code.

Collaborate with product, design, and marketing teams.

Maintain documentation per company standards.

Provide testing, documentation, training, and support for third-party software products.

Resolve user-submitted problems and questions.

Education and Experience Requirements:

Bachelor’s degree in computer science, engineering, or a related field

One to three years of experience in software development

Proven experience with OOP languages (Java, C++, VB.NET)

Familiarity with HTML, JavaScript, CSS, and AJAX

Direct experience with Agile software development methodologies a plus

Computer Programmer Qualifications/Skills:

Understanding of object-oriented software engineering

Track record of successful application development

Ability to write clean, well-documented code

Excellent complex problem solving and critical thinking skills

Working knowledge of SQL and Microsoft SQL Server

Solid troubleshooting and communication skills

Experience using Microsoft Office tools (Excel, Visio)

Demonstrated analytical and critical thinking abilities

Resources:

https://hiring.monster.com/employer-resources/job-description-templates/programmer-job-description-sample/

https://en.wikipedia.org/wiki/Programmer

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A computer programmer creates the code for software applications and operating systems. After a software developer designs a computer program, the programmer writes code that converts that design into a set of instructions a computer can follow. They test the program to look for errors and then rewrite it until it is error-free. The programmer continues to evaluate programs that are in use, making updates and adjustments as needed.

Quick Facts

Computer programmers earned a median annual salary of $79,840 in 2016.

Nearly 329,000 people worked in this occupation in 2014.

Companies that write and test software employed most of them. Others worked for software publishers and finance and insurance companies.

Jobs are typically full-time.

This is a good job for people who like to work alone.

The job outlook for this occupation is poor. Employers will outsource many jobs to countries where wages are lower than they are in the U.S., causing employment to decline through 2024.

Roles and Responsibilities

"Develop, test, and implement computer programs on multiple computer/operating system platforms."

"Help develop a new web-based information system (IS)"

"Perform all activities necessary for the definition, design, construction, testing, and implementation of automated computer systems."

"Review programs on a frequent basis and make adjustments as are necessary to ensure proper working of the program."

"Confirm program operation by conducting tests; modifying program sequence and/or codes."

"Create and publish technical diagrams to support coding efforts."

"Integrate new functionality into existing applications."

How to Become a Computer Programmer

Your chances of getting a job as a computer programmer will be better if you earn a bachelor's degree in computer science, mathematics, or information systems. Some employers will hire you if you have a degree in another subject such as accounting, finance, and business, as long as you have taken computer science classes. You may even be able to find work with an associate degree in computer science.

Since experience is as valuable as a degree in this field, you should do internships while you are in school. Once you are working in the field, you will have to keep your skills up-to-date by learning new programming languages. Certifications in various programming languages may also be beneficial.

Soft Skills Needed to Succeed

In addition to the technical skills acquired through formal training and experience, the following soft skills will help make your success in this field possible:

Reading Comprehension: You must be able to understand written instructions.

Problem Solving: Programmers must identify problems.

Critical Thinking: When solving problems and making decisions, you should know how to weigh all your options so that you can choose the best one.

Active Listening: This ability allows you to understand instructions from members of your team.

Attention to Detail and Troubleshooting: You must be able to find small mistakes in code and fix them.

What Employers Expect

Here are some requirements for actual job announcements found on Indeed.com. Most employers also require proficiency in particular programming languages:

"Must have the ability to work independently."

"Must possess a high degree of accountability of his/her work."

"Must have the ability to comprehend and apply principles of modern algebra while analyzing data and generating reports."

"Must work well in a team environment."

"Must be able to work under pressure to meet timelines and handle multiple tasks and changing priorities."

"Must have self-discipline, as projects take several months to complete."

How to Gauge Whether This Career Is a Good Fit for You

Your interests, personality type, and work-related values are some of the factors that will determine whether being a computer programmer is a good fit for you. This career is suitable for people who have the following traits:

Interests (Holland Code): ICR (Investigative, Conventional, Realistic)

Personality Type (Myers Briggs Personality Type Indicator [MBTI]): ENTJ, INTJ, INTP, ISTJ, ISTP

Work-Related Values: Achievement, Working Conditions, Independence

Related Occupations

Title

Description

Median Annual Wage (2016)

Minimum Required Education/Training

Software Developer
Creates systems and applications software.

$106,860 (Systems)

$100,080 (Applications)

HS diploma; bachelor's degree preferred

Computer Systems Analyst
Helps organizations use computer technology effectively.

$87,220

Bachelor's degree in computer science or related subject

Web Developer
Tends to design and technical aspects of websites.

$66,130

HS diploma; many employers require an associate degree in web design

Computer Support Specialist
Assists computer users with problems they are having with software, hardware, or peripherals.

$49,390

HS diploma; experience with computers

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A computer programmer creates the code for software applications and operating systems. After a software developer designs a computer program, the programmer writes code that converts that design into a set of instructions a computer can follow. They test the program to look for errors and then rewrite it until it is error-free.

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Web crawling is a powerful technique to collect data from the web by finding all the URLs for one or multiple domains. Python has several popular web crawling libraries and frameworks.

Developer Responsibilities:
• Optimise the scraping capability to ensure the data is scrapped efficiently with minimum usage of server bandwidth. Scrape difficult websites by deploying anti-blocking and anti-captcha tools.
• Develop highly reliable web crawlers and parsers across various websites
• Extract structured/unstructured data and store them into SQL/No SQL data store
• Work closely with Project/Business/Research teams to provide scrapped data for analysis
• Develop a deep understanding of the data sources on the web and know exactly how, when, and which data to scrap, parse and store this data
• Active participation in troubleshooting and debugging.
• Perform code reviews and suggest design changes.
• Increase process efficiency by identifying repeatable jobs and automating them using appropriate tools and techniques
• Creating efficient web crawlers. Create more/better ways to crawl relevant information
• Familiarity with best practices and design patterns of programming languages.

Developer Requirements:
• Experience in a fast paced start-up company or team lead experience at a start-up during the rapid team and business scaling phase.
• Strong knowledge of scraping frameworks such as Scrapy, Beautiful Soup, HTQL, Jsoup, Web- Harvest, URLlib and Selenium
• Good to have Experience of complex crawling (like captcha, Mobile OTP based crawling, bypassing proxy)
• Experience in various data extraction methods (like data extraction from PDF Files, web pages, etc.)
• Good understanding of HTML DOM, CSS, Javascript, XPATH and RESTful web service
• Familiarity with AWS, cloud-based technologies is a plus
• Working knowledge in various SQL/NoSQL DBs , message queues & Web RestFul APIs
• Bachelor/ Master’s degree in computer science / Computer Engineering / Information Technology
• Excellent verbal, written, and interpersonal communication skills in English

Sources:
• https://www.naukri.com/job-listings-senior-software-engineer-web-scraping-crawling-advarisk-pune-3-to-5-years-240821908265?src=seo_srp&sid=16300461728698289&xp=2&px=1
• https://www.scrapingbee.com/blog/crawling-python/

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Web crawling is a powerful technique to collect data from the web by finding all the URLs for one or multiple domains. Python has several popular web crawling libraries and frameworks.

In this article, we will first introduce different crawling strategies and use cases. Then we will build a simple web crawler from scratch in Python using two libraries: requests and Beautiful Soup. Next, we will see why it's better to use a web crawling framework like Scrapy. Finally, we will build an example crawler with Scrapy to collect film metadata from IMDb and see how Scrapy scales to websites with several million pages.

What is a web crawler?

Web crawling and web scraping are two different but related concepts. Web crawling is a component of web scraping, the crawler logic finds URLs to be processed by the scraper code.

A web crawler starts with a list of URLs to visit, called the seed. For each URL, the crawler finds links in the HTML, filters those links based on some criteria and adds the new links to a queue. All the HTML or some specific information is extracted to be processed by a different pipeline.

Web crawling strategies

In practice, web crawlers only visit a subset of pages depending on the crawler budget, which can be a maximum number of pages per domain, depth or execution time.

Most popular websites provide a robots.txt file to indicate which areas of the website are disallowed to crawl by each user agent. The opposite of the robots file is the sitemap.xml file, that lists the pages that can be crawled.

Popular web crawler use cases include:

Search engines (Googlebot, Bingbot, Yandex Bot...) collect all the HTML for a significant part of the Web. This data is indexed to make it searchable.

SEO analytics tools on top of collecting the HTML also collect metadata like the response time, response status to detect broken pages and the links between different domains to collect backlinks.

Price monitoring tools crawl e-commerce websites to find product pages and extract metadata, notably the price. Product pages are then periodically revisited.

Common Crawl maintains an open repository of web crawl data. For example, the archive from October 2020 contains 2.71 billion web pages.

Next, we will compare three different strategies for building a web crawler in Python. First, using only standard libraries, then third party libraries for making HTTP requests and parsing HTML and finally, a web crawling framework.

Building a simple web crawler in Python from scratch

To build a simple web crawler in Python we need at least one library to download the HTML from a URL and an HTML parsing library to extract links. Python provides standard libraries urllib for making HTTP requests and html.parser for parsing HTML. An example Python crawler built only with standard libraries can be found on Github.

The standard Python libraries for requests and HTML parsing are not very developer-friendly. Other popular libraries like requests, branded as HTTP for humans, and Beautiful Soup provide a better developer experience.

If you wan to learn more, you can check this guide about the best Python HTTP client.

You can install the two libraries locally.

A basic crawler can be built following the previous architecture diagram.

The code above defines a Crawler class with helper methods to download_url using the requests library, get_linked_urls using the Beautiful Soup library and add_url_to_visit to filter URLs. The URLs to visit and the visited URLs are stored in two separate lists. You can run the crawler on your terminal.

The crawler logs one line for each visited URL.

 2020-12-04 18:10:10,737 INFO:Crawling: https://www.imdb.com/ 2020-12-04 18:10:11,599 INFO:Crawling: https://www.imdb.com/?ref_=nv_home 2020-12-04 18:10:12,868 INFO:Crawling: https://www.imdb.com/calendar/?ref_=nv_mv_cal 2020-12-04 18:10:13,526 INFO:Crawling: https://www.imdb.com/list/ls016522954/?ref_=nv_tvv_dvd 2020-12-04 18:10:19,174 INFO:Crawling: https://www.imdb.com/chart/top/?ref_=nv_mv_250 2020-12-04 18:10:20,624 INFO:Crawling: https://www.imdb.com/chart/moviemeter/?ref_=nv_mv_mpm 2020-12-04 18:10:21,556 INFO:Crawling: https://www.imdb.com/feature/genre/?ref_=nv_ch_gr

The code is very simple but there are many performance and usability issues to solve before successfully crawling a complete website.

The crawler is slow and supports no parallelism. As can be seen from the timestamps, it takes about one second to crawl each URL. Each time the crawler makes a request it waits for the request to be resolved and no work is done in between.

The download URL logic has no retry mechanism, the URL queue is not a real queue and not very efficient with a high number of URLs.

The link extraction logic doesn't support standardizing URLs by removing URL query string parameters, doesn't handle URLs starting with #, doesn't support filtering URLs by domain or filtering out requests to static files.

The crawler doesn't identify itself and ignores the robots.txt file.

Next, we will see how Scrapy provides all these functionalities and makes it easy to extend for your custom crawls.

Web crawling with Scrapy

Scrapy is the most popular web scraping and crawling Python framework with 40k stars on Github. One of the advantages of Scrapy is that requests are scheduled and handled asynchronously. This means that Scrapy can send another request before the previous one is completed or do some other work in between. Scrapy can handle many concurrent requests but can also be configured to respect the websites with custom settings, as we'll see later.

Scrapy has a multi-component architecture. Normally, you will implement at least two different classes: Spider and Pipeline. Web scraping can be thought of as an ETL where you extract data from the web and load it to your own storage. Spiders extract the data and pipelines load it into the storage. Transformation can happen both in spiders and pipelines, but I recommend that you set a custom Scrapy pipeline to transform each item independently of each other. This way, failing to process an item has no effect on other items.

On top of all that, you can add spider and downloader middlewares in between components as it can be seen in the diagram below.

Scrapy Architecture Overview [ source]

If you have used Scrapy before, you know that a web scraper is defined as a class that inherits from the base Spider class and implements a parse method to handle each response. If you are new to Scrapy, you can read this article for easy scraping with Scrapy.

Scrapy also provides several generic spider classes: CrawlSpider, XMLFeedSpider, CSVFeedSpider and SitemapSpider. The CrawlSpider class inherits from the base Spider class and provides an extra rules attribute to define how to crawl a website. Each rule uses a LinkExtractor to specify which links are extracted from each page. Next, we will see how to use each one of them by building a crawler for IMDb, the Internet Movie Database.

Building an example Scrapy crawler for IMDb

Before trying to crawl IMDb, I checked IMDb robots.txt file to see which URL paths are allowed. The robots file only disallows 26 paths for all user-agents. Scrapy reads the robots.txt file beforehand and respects it when the ROBOTSTXT_OBEY setting is set to true. This is the case for all projects generated with the Scrapy command startproject.

scrapy startproject scrapy_crawler

This command creates a new project with the default Scrapy project folder structure.

scrapy_crawler/ ├── scrapy.cfg └── scrapy_crawler ├── __init__.py ├── items.py ├── middlewares.py ├── pipelines.py ├── settings.py └── spiders ├── __init__.py

Then you can create a spider in scrapy_crawler/spiders/imdb.py with a rule to extract all links.

You can launch the crawler in the terminal.

scrapy crawl imdb --logfile imdb.log

You will get lots of logs, including one log for each request. Exploring the logs I noticed that even if we set allowed_domains to only crawl web pages under https://www.imdb.com, there were requests to external domains, such as amazon.com.

IMDb redirects from URLs paths under whitelist-offsite and whitelist to external domains. There is an open Scrapy Github issue that shows that external URLs don't get filtered out when the OffsiteMiddleware is applied before the RedirectMiddleware. To fix this issue, we can configure the link extractor to deny URLs starting with two regular expressions.

Rule and LinkExtractor classes support several arguments to filter out URLs. For example, you can ignore specific URL extensions and reduce the number of duplicate URLs by sorting query strings. If you don't find a specific argument for your use case you can pass a custom function to process_links in LinkExtractor or process_values in Rule.

For example, IMDb has two different URLs with the same content.
https://www.imdb.com/name/nm1156914/ https://www.imdb.com/name/nm1156914/?mode=desktop&ref_=m_ft_dsk
To limit the number of crawled URLs, we can remove all query strings from URLs with the url_query_cleaner function from the w3lib library and use it in process_links.

Now that we have limited the number of requests to process, we can add a parse_item method to extract data from each page and pass it to a pipeline to store it. For example, we can either extract the whole response.text to process it in a different pipeline or select the HTML metadata. To select the HTML metadata in the header tag we can code our own XPATHs but I find it better to use a library, extruct, that extracts all metadata from an HTML page. You can install it with pip install extract.

I set the follow attribute to True so that Scrapy still follows all links from each response even if we provided a custom parse method. I also configured extruct to extract only Open Graph metadata and JSON-LD, a popular method for encoding linked data using JSON in the Web, used by IMDb. You can run the crawler and store items in JSON lines format to a file.

scrapy crawl imdb --logfile imdb.log -o imdb.jl -t jsonlines

The output file imdb.jl contains one line for each crawled item. For example, the extracted Open Graph metadata for a movie taken from the <meta> tags in the HTML looks like this.

The JSON-LD for a single item is too long to be included in the article, here is a sample of what Scrapy extracts from the <script type="application/ld+json"> tag.

Exploring the logs, I noticed another common issue with crawlers. By sequentially clicking on filters, the crawler generates URLs with the same content, only that the filters were applied in a different order.
https://www.imdb.com/name/nm2900465/videogallery/content_type-trailer/related_titles-tt0479468 https://www.imdb.com/name/nm2900465/videogallery/related_titles-tt0479468/content_type-trailer
Long filter and search URLs is a difficult problem that can be partially solved by limiting the length of URLs with a Scrapy setting, URLLENGTH_LIMIT.

I used IMDb as an example to show the basics of building a web crawler in Python. I didn't let the crawler run for long as I didn't have a specific use case for the data. In case you need specific data from IMDb, you can check the IMDb Datasets project that provides a daily export of IMDb data and IMDbPY, a Python package for retrieving and managing the data.

Web crawling at scale

If you attempt to crawl a big website like IMDb, with over 45M pages based on Google, it's important to crawl responsibly by configuring the following settings. You can identify your crawler and provide contact details in the BOT_NAME setting. To limit the pressure you put on the website servers you can increase the DOWNLOAD_DELAY, limit the CONCURRENT_REQUESTS_PER_DOMAIN or set AUTOTHROTTLE_ENABLED that will adapt those settings dynamically based on the response times from the server.

Notice that Scrapy crawls are optimized for a single domain by default. If you are crawling multiple domains check these settings to optimize for broad crawls, including changing the default crawl order from depth-first to breath-first. To limit your crawl budget, you can limit the number of requests with the CLOSESPIDER_PAGECOUNT setting of the close spider extension.

With the default settings, Scrapy crawls about 600 pages per minute for a website like IMDb. To crawl 45M pages it will take more than 50 days for a single robot. If you need to crawl multiple websites it can be better to launch separate crawlers for each big website or group of websites. If you are interested in distributed web crawls, you can read how a developer crawled 250M pages with Python in 40 hours using 20 Amazon EC2 machine instances.

In some cases, you may run into websites that require you to execute JavaScript code to render all the HTML. Fail to do so, and you may not collect all links on the website. Because nowadays it's very common for websites to render content dynamically in the browser I wrote a Scrapy middleware for rendering JavaScript pages using ScrapingBee's API.

Conclusion

We compared the code of a Python crawler using third-party libraries for downloading URLs and parsing HTML with a crawler built using a popular web crawling framework. Scrapy is a very performant web crawling framework and it's easy to extend with your custom code. But you need to know all the places where you can hook your own code and the settings for each component.

Configuring Scrapy properly becomes even more important when crawling websites with millions of pages. If you want to learn more about web crawling I suggest that you pick a popular website and try to crawl it. You will definitely run into new issues, which makes the topic fascinating!

Sources

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Web crawling is a powerful technique to collect data from the web by finding all the URLs for one or multiple domains. Python has several popular web crawling libraries and frameworks. In this article, we will first introduce different crawling strategies and use cases.

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The business environment relies heavily on software for many functions - from automated traffic control systems to complex manufacturing processes, and Software Engineers are pivotal in the development of software that provides real solutions. A Software Engineer needs to address the entire software development lifecycle - to analyse the needs, and then design, test and develop software in order to meet those needs.

Software Engineer Responsibilities:

Improving system quality by identifying issues and common patterns, and developing standard operating procedures

Enhancing applications by identifying opportunities for improvement, making recommendations and designing and implementing systems

Maintaining and improving existing codebases and peer review code changes

Liaising with colleagues to implement technical designs

Investigating and using new technologies where relevant

Providing written knowledge transfer material

Software Engineer Requirements:

A passion for solving problems and providing workable solutions

Knowledge of algorithms and data structures

Strong analytical and reasoning skills with an ability to visualise processes and outcomes

Proficiency in troubleshooting software issues and debugging a large codebase

Outstanding all-round communication skills and ability to work collaboratively

Software Engineer Qualifications:
A degree in Software Engineering, Computer Science, Mathematics or related fields is essential. Some companies may require expertise in particular high-level programming languages such as C++, Java or Scala.

Source:
https://www.roberthalf.com.au/employers/it-technology/software-engineer-jobs

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Software Engineer job description and duties | Robert Half

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Hiring for Software Engineer jobs? Create a detailed job ad with our Software Engineer job description and duties guide.

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Full stack developer are experts who work on both client-side(front-end) and server-side(back-end) of the software application. A full-stack developer works with both the front and back ends of a website or application—meaning they can tackle projects that involve databases, building user-facing websites, or even work with clients during the planning phase of projects.

E.g. of front-end software:

HTML

CSS

Javascript

Bootstrap

E.g. of back-end software:

PHP

Python

Ruby

Node.js

Full Stack Developer Responsibilities:

Helping with the design and development of software.

Testing and debugging software to keep it optimized.

Writing clean code for the front and back end of the software.

Designing user interactions on the web application itself.

Creating servers and databases for the back end of the software.

Ensuring cross-platform compatibility and optimization.

Testing and maintaining the responsive design of applications.

Working with graphic designers to design new features.

Developing APIs and RESTful services.

Keeping up with technological advances to optimize their software.

Communicating effectiveness of emerging technologies to decision makers.

Considering security, maintenance, scalability, and more when developing.

Full Stack Developer Requirements:

Degree in computer science.

Strong organizational and project management skills.

Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.

Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.

Proficiency with server-side languages such as Python, Ruby, Java, PHP, and .Net.

Familiarity with database technology such as MySQL, Oracle, and MongoDB.

Excellent verbal communication skills.

Good problem-solving skills.

Attention to detail.

Sources:

https://www.guru99.com/full-stack-developer.html

https://www.lewagon.com/tech-jobs/web-development/full-stack-developer

https://www.betterteam.com/full-stack-developer-job-description

https://www.w3schools.com/whatis/whatis_fullstack.asp

https://ncube.com/blog/full-stack-developer-vs-mean-stack-developer

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A social media community manager is responsible for the growth and maintenance of that community. Their purpose is to ensure that every member has a sense of belonging and ownership and that the community creates value for its members.

Community Manager responsibilities include:

Setting and implementing social media and communication campaigns to align with marketing strategies

Providing engaging text, image and video content for social media accounts

Responding to comments and customer queries in a timely manner

Set and implement social media and communication campaigns to align with marketing strategies

Provide engaging text, image and video content for social media accounts

Respond to comments and customer queries in a timely manner

Monitor and report on feedback and online reviews

Organize and participate in events to build community and boost brand awareness

Coordinate with Marketing, PR and Communications teams to ensure brand consistency

Liaise with Development and Sales departments to stay updated on new products and features

Build relationships with customers, potential customers, industry professionals and journalists

Stay up-to-date with digital technology trends

Requirements

Proven work experience as a community manager

Experience launching community initiatives (e.g. building an online forum, launching an ambassador program, creating an event series and writing an email newsletter)

Ability to identify and track relevant community metrics (e.g. repeat attendance at events)

Excellent verbal communication skills

Excellent writing skills

Hands on experience with social media management for brands

Ability to interpret website traffic and online customer engagement metrics

Knowledge of online marketing and marketing channels

Attention to detail and ability to multitask

BSc degree in Marketing or relevant field

https://resources.workable.com/community-manager-job-description

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Recruiting Resources: How to Recruit and Hire Better

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This Community Manager job description template lists the responsibilities and competency requirements to help you identify the ideal candidate to advocate your brand. It's also easy to customize to meet your specific job requirements. Post on job boards for free.

Community Manager responsibilities include:

Setting and implementing social media and communication campaigns to align with marketing strategies

Providing engaging text, image and video content for social media accounts

Responding to comments and customer queries in a timely manner

Job brief

We are looking for a qualified Community manager to join our team. If you are a tech-savvy professional, experienced in social media, PR and promotional events, we would like to meet you.

Our ideal candidate has exceptional oral and written communication skills and is able to develop engaging content. You should be a 'people person' with great customer service skills and the ability to moderate online and offline conversations with our community.

Ultimately, you should be able to act as the face and voice of our brand and manage all community communications.

Responsibilities

Set and implement social media and communication campaigns to align with marketing strategies

Provide engaging text, image and video content for social media accounts

Respond to comments and customer queries in a timely manner

Monitor and report on feedback and online reviews

Organize and participate in events to build community and boost brand awareness

Coordinate with Marketing, PR and Communications teams to ensure brand consistency

Liaise with Development and Sales departments to stay updated on new products and features

Build relationships with customers, potential customers, industry professionals and journalists

Stay up-to-date with digital technology trends

Requirements

Proven work experience as a community manager

Experience launching community initiatives (e.g. building an online forum, launching an ambassador program, creating an event series and writing an email newsletter)

Ability to identify and track relevant community metrics (e.g. repeat attendance at events)

Excellent verbal communication skills

Excellent writing skills

Hands on experience with social media management for brands

Ability to interpret website traffic and online customer engagement metrics

Knowledge of online marketing and marketing channels

Attention to detail and ability to multitask

BSc degree in Marketing or relevant field

Hiring Community Manager job description

Post this Community Manager job description job ad to 18+ free job boards with one submission

Start a free Workable trial and post your ad on the most popular job boards today.

Related Job Descriptions

Related Interview Questions

Related Topics

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This Community Manager job description template lists the responsibilities and competency requirements to help you identify the ideal candidate to advocate your brand. It's also easy to customize to meet your specific job requirements. Post on job boards for free.

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The role and responsibilities of a data quality manager are varied depending on the industry in which he or she works. However, resolving issues, maintaining company standards and being an effective communicator are just some of the responsibilities that are necessary.

Also called a quality assurance manager or a quality control manager, this person is responsible for coordinating activities to complete these standards of quality.

Data Quality Manager Responsibilities:

ensure that the system for quality management is operating correctly.

make sure these databases are clean, standardized and enriched

Data Quality Manager Requirements:

Be able to negotiate

Be able to write reports well

Have excellent customer service skills

Be able to plan and lead projects to completion

Be effective at communicating

Be motivators

Have analytical skills

Be familiar with the tools and methodology needed for successful quality control

Be able to interpret data

In information technology, although the skills and responsibilities may be similar as other sectors, there are some skills specific to IT that quality data managers should have. They inspect processes and equipment, maintain a data quality checklist, set data quality objectives and also check the efficiency and functionality of these processes. The process of testing is also determined by the quality data manager, and he or she makes modifications if needed. If you have an eye for detail and enjoy analytical thinking, you should consider a career as a quality data manager.

Reference link
https://www.ringlead.com/blog/what-are-the-responsibilities-of-a-data-quality-manager/

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The role and responsibilities of a data quality manager are varied depending on the industry in which he or she works. However, resolving issues, maintaining company standards and being an effective communicator are just some of the responsibilities that are necessary.

Also called a quality assurance manager or a quality control manager, this person is responsible for coordinating activities to complete these standards of quality. They also advise on how these quality systems are managed, they report performance and they measure against set standards. A data quality manager often sets policy standards and may be a Salesforce Admin, Marketing Operations professional, CRM Manager, or even an outside partner.

Quality data managers also meet with other staff, employees and managers in the organization to ensure that the system for quality management is operating correctly. When it is needed, they will recommend changes and explain how these changes can be implemented into the system by providing the necessary training, best data quality tools and techniques that will allow the company to meet its company standards. Data management tools, like RingLead Data Management Solutions, can make cleaning, organizing and enriching data an automated and simple process saving professionals valuable time, money and energy.

This type of manager will also provide insight into how much work can effectively be completed within one work shift so that the highest work standards are maintained.

Data Quality Manager - Where Are They Required

Quality data managers work in a variety of sectors. There are in high demand the production and manufacturing sectors, and they are placed primarily in support functions. However, they are found in other sectors as well such as technology, finance, public service, transportation, food production, engineering and petrochemicals. More or less, any company with a database can benefit from database management.

With the popularity of CRM systems like Salesforce and Microsoft Dynamics, and Marketing Automation Systems like Marketo and Pardot, there is an even greater need for data quality managers to make sure these databases are clean, standardized and enriched, so that sales and marketing departments can see the greatest ROI on these systems. When your CRM and Marketing Automation Systems are deduped and enriched, companies see better engagement, conversion and deliverability rates, and overall higher revenue and growth.

There are certain skills that an individual possess in order to be a successful quality data manager.

Necessary Skills

The following list includes some of the most important skills a quality data manager will need in order to complete day to day tasks. They should:

Be able to negotiate

Be able to write reports well

Have excellent customer service skills

Be able to plan and lead projects to completion

Be effective at communicating

Be motivators

Have analytical skills

Be familiar with the tools and methodology needed for successful quality control

Be able to interpret data

In information technology, although the skills and responsibilities may be similar as other sectors, there are some skills specific to IT that quality data managers should have. They inspect processes and equipment, maintain a data quality checklist, set data quality objectives and also check the efficiency and functionality of these processes. The process of testing is also determined by the quality data manager, and he or she makes modifications if needed. If you have an eye for detail and enjoy analytical thinking, you should consider a career as a quality data manager.

Think you have what it takes to be a data quality manager? Join RingLead's Premier Partner Program today to help implement RingLead Data Management Solutions (DMS) in companies across the globe, streamlining their data management processes through scheduled cleanse tasks, and real time duplicate prevention alerts. DMS is the only cloud-based, fully scalable, automated platform that clean, protect and enrich all of the data inside your database in real time, getting rid of the mundane and tedious task of deduping and normalizing data by hand.

Click the box below to learn more about RingLead's Partner Program today!

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What Are The Responsibilities Of A Data Quality Manager - RingLead

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The role and responsibilities of a data quality manager are varied depending on the industry in which he or she works. However, resolving issues, maintaining company standards and being an effective communicator are just some of the responsibilities that are necessary.

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IT Consultant Job Description Template

We are looking for technology specialists who are creative problem-solvers for the position of IT consultant. IT consultants are responsible for implementing technological solutions to solve business problems, creating a schedule for analysis, implementation, and testing of the technology, and working with in-house technical teams to ensure consistency of use, among other duties.

Moreover, IT consultants will communicate technical instructions in understandable business terms and produce technical user manuals, requiring exceptional interpersonal and communicative ability.

IT Consultant Responsibilities:

Analyzing a company's IT system and infrastructure.

Diagnosing IT system problems, inefficiencies, and weaknesses.

Planning a timeline for completion of projects.

Understanding a client's business needs.

Implementing a technological solution to meet business needs.

Analyzing and determining security threats.

Providing advice on technology best practices.

Collaborating with the technical in-house team to ensure familiarity with technology.

Training staff to use the new IT system.

Monitoring the success of IT solutions.

Producing detailed reports on the efficacy of the technology.

IT Consultant Requirements:

Degree in computer science, information systems, or related field.

MBA is advantageous.

Proficiency with database languages.

Excellent written and verbal communication.

Good interpersonal skills.

Creative problem-solving skills.

Analytical mindset.

Good time management and organizational skills.

https://www.betterteam.com/it-consultant-job-description

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IT consultants are external analysts who evaluate a company's IT systems to help them meet their business objectives. Their primary duties include analyzing and diagnosing a company's IT infrastructure, understanding a client's business needs, and designing and implementing a technology solution.

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IT consultants are external analysts who evaluate a company's IT systems to help them meet their business objectives. Their primary duties include analyzing and diagnosing a company's IT infrastructure, understanding a client's business needs, and designing and implementing a technology solution.

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A business intelligence analyst's most fundamental job is to find patterns and value in their company and industry data. At most companies, this is a kind of data analyst role. BI Analysts will be expected to be comfortable analyzing data, working with SQL, and doing data visualization and modeling. Like most data roles, this job also requires strong communication skills so that you can communicate your results convincingly to others at the company.

The main duties and responsibilities of a Business Intelligence Analyst include:

Learning and fully understanding the data landscape in databases and applications

Using and developing data collection processes

Reviewing and validating data

Gathering end user reporting and dashboard requirements

Developing dashboards and creating reports and supporting users with them

Communicating insights to senior management and across the organisation

Business Intelligence Analyst Requirements:

Traditionally, in order to become a Business Intelligence Analyst, you will first need an undergraduate degree in a related subject; this could be in Business Information Systems, Computer Science or Data Science, for example. You will then need to gain the appropriate qualifications and experience before you can begin your career.

However, at FDM, we offer you the opportunity to launch your career as a BI Analyst without the need for any prior work experience or necessarily a technical degree. Our Business Intelligence Graduate Programme is open to all graduates who have a passion for IT. FDM will provide you with expert training, equipping you with all the skills you need, followed by a two-year work placement as a Business Intelligence Consultant with our renowned clients.

https://www.fdmgroup.com/business-intelligence-analyst-job-description/

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The Business Intelligence Analyst is responsible for helping businesses leverage data and identify opportunities for improvement, spot trends, as well as recognise potential issues and offer solutions. Their work is aimed towards improving efficiency, increasing productivity, and driving profits for the business.

The main duties and responsibilities of a Business Intelligence Analyst include:

Learning and fully understanding the data landscape in databases and applications

Using and developing data collection processes

Reviewing and validating data

Gathering end user reporting and dashboard requirements

Developing dashboards and creating reports and supporting users with them

Communicating insights to senior management and across the organisation

Business Intelligence Analyst Requirements
Traditionally, in order to become a Business Intelligence Analyst, you will first need an undergraduate degree in a related subject; this could be in Business Information Systems, Computer Science or Data Science, for example. You will then need to gain the appropriate qualifications and experience before you can begin your career.

However, at FDM, we offer you the opportunity to launch your career as a BI Analyst without the need for any prior work experience or necessarily a technical degree. Our Business Intelligence Graduate Programme is open to all graduates who have a passion for IT. FDM will provide you with expert training, equipping you with all the skills you need, followed by a two-year work placement as a Business Intelligence Consultant with our renowned clients.
A day in the life of a Business Intelligence Consultant

Kieran Price
BI Developer
Trained in the FDM BI Stream

Izhan Malik
Business Analyst
Trained in the FDM BI Stream

Have you ever wondered what Business Intelligence professionals do? Find out from two of our FDM Consultants who share their experience on-site and tell us about how their careers have developed after training on the FDM Business Intelligence Graduate Programme.

What is your role and what does a typical day look like for you?

Kieran: My current role on-site is Business Intelligence Developer and I am part of a three-person developer team. My main duties involve reporting, particularly with PowerBI and SSRS. My day-to-day activities include project work, report building and maintenance and understanding user requirements. In order to do so, I have to communicate with business users about our data warehouse and identify how we can utilise it to deliver to their reporting needs. In addition, my role incorporates some business analysis work too, which has helped further expand my skill set.

Izhan: I am currently working as a Business Analyst at a global bank as part of their 'Finance on the Cloud' programme and my role focuses on compliance testing. I am responsible for ensuring that the data transferred onto the Cloud is compliant with the appropriate authorities and I also manage a few dashboards on the side.

What is your favourite thing about your role?

Kieran: My role requires me to work on a variety of projects and engage with stakeholders in different roles and departments every day, which I really enjoy. I currently run the company PowerBI training for users wanting to implement this technology in their roles and it feels great to have this responsibility. I'm also given the time to focus on my own professional development and take charge of my future.

Izhan: A major part of my role is to work side by side with the development team, based in India. My favourite thing is to liaise with different teams all over the world and talk to new and inspiring people on a daily basis.

What challenges do you face in your role and how do you overcome them?

Kieran: I have recently been involved in a project focused on implementing a new system to support engineers and everyone working on-site during our planned summer outage. We are operating under tight deadlines and, on top of this, one of our team members who was crucial for this project left, making our jobs a lot more difficult. As a team, we had to quickly adapt and divide the work between us. However, despite the challenges, we will be able to launch the system in time for the outage works to begin.

Izhan: The biggest challenge for me was starting this role remotely from home during the pandemic. The new virtual onboarding process was a new experience for both the client and myself. However, having good communication, regular video calls with the rest of the team and being supported by my colleagues really helped me through this challenge.

What is your academic and professional background?

Kieran: I have completed an undergraduate degree in Geology and I was interested in working with a client in the energy sector. Researching the field and specifically the organisations' long-term goals, really helped me during the interview process and allowed me to secure a role with the right company.

Izhan: I studied Financial Economics at City, University of London. Even though I did not have any prior experience in BI, I was always fond of a career in this field, as it would have allowed me to combine my data and analytical skills I learnt at university, along with my passion for IT.

How did FDM help you get into your role?

Kieran: The professional skills module in the FDM Academy was extremely helpful as it reinforced the skills that I had previously learnt throughout university, such as communication and presentation skills. It also showed me how important it is to have and show confidence. FDM also provided me with the opportunity to be interviewed by major companies, which would normally be very difficult for recent graduates to access.

Izhan: The training really helped me understand the commercial sector. It polished my teamwork skills and provided me with the hands-on experience I needed in technology in order to secure my current role.

What are your top tips for someone trying to pursue a career in Business Intelligence?

Kieran: My number one top tip would be to apply yourself to develop a deep understanding of your field and become a subject matter expert. This can be tough at first, but also super rewarding, as it will undoubtedly set you up for a successful career. Another tip would be to be yourself during the interview process. Your future employers are looking for someone who will fit their team dynamic, so relax and be yourself.

Izhan: Stay up to date with the latest trends in technology. In the world we live in, technology often informs other sectors, especially within finance. Looking at technology from another perspective really helps understand how we can use IT to achieve great things.
If you're interested in launching your career as a Business Intelligence Analyst, check out the FDM Graduate Business Intelligence Programme to find out more.

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Business Intelligence Analyst Job Description

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The Business Intelligence Analyst is responsible for helping businesses leverage data and identify opportunities for improvement, spot trends, as well as recognise potential issues and offer solutions. Their work is aimed towards improving efficiency, increasing productivity, and driving profits for the business.

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IT engineers are high-level IT personnel who design, install, and maintain a company’s computer systems. They are responsible for testing, configuring, and troubleshooting hardware, software, and networking systems to meet the needs of the employer. IT engineers may also be required to train staff and manage projects.

IT Engineer Job Description Template

We are looking to hire an experienced IT engineer to manage our company’s computer systems. As an IT engineer, you will be responsible for designing hardware configurations, installing software, managing network systems, and training staff on correct operating procedures.

To ensure success as an IT engineer, you should have extensive experience maintaining large-scale computer systems, the ability to project manage, and excellent troubleshooting skills. Ultimately, a top-level IT engineer can design and maintain a dynamic and stable system to perfectly meet the needs of the company.

IT Engineer Responsibilities:

Meeting with the IT manager to discuss system needs.

Designing and installing computer hardware configurations.

Installing software and networking systems.

Troubleshooting network and software issues.

Installing high-level software security systems.

Training staff on newly installed hardware and software systems.

Fixing hardware, software, and networking issues.

Responding to general IT requests.

Ensuring security software is kept up to date.

Filing monthly reports for the IT Manager.

IT Engineer Requirements:

Bachelor’s degree in computer science or a similar field.

Extensive knowledge of computer hardware systems.

Familiarity with general OS systems, Enterprise, programming languages, and Office software.

Knowledge of LAN and wireless networks.

Ability to project manage.

Good communication skills.

Ability to troubleshoot complex software and hardware issues.

Knowledge of database and networking security systems.

https://www.betterteam.com/it-engineer-job-description

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IT engineers are high-level IT personnel who design, install, and maintain a company's computer systems. They are responsible for testing, configuring, and troubleshooting hardware, software, and networking systems to meet the needs of the employer. IT engineers may also be required to train staff and manage projects.

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IT engineers are high-level IT personnel who design, install, and maintain a company's computer systems. They are responsible for testing, configuring, and troubleshooting hardware, software, and networking systems to meet the needs of the employer. IT engineers may also be required to train staff and manage projects.

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Computer programmers write and test code that allows computer applications and programs to function. They may translate designs from software developers and engineers into workable code. They may also update or expand the code of existing programs or test programs for errors, finding and resolving faulty lines of code.
Computer Programmer Responsibilities:

Code and test programming for software and mobile apps.

Develop and deploy computer applications.

Execute code builds to test and production environments.

Fix bugs in existing code.

Collaborate with product, design, and marketing teams.

Maintain documentation per company standards.

Provide testing, documentation, training, and support for third-party software products.

Resolve user-submitted problems and questions.

Computer Programmer Requirements:

Bachelor’s degree in computer science, engineering, or a related field

One to three years of experience in software development

Proven experience with OOP languages (Java, C++, VB.NET)

Familiarity with HTML, JavaScript, CSS, and AJAX

Direct experience with Agile software development methodologies a plus

Computer Programmer Skills/Qualification:

Understanding of object-oriented software engineering

Track record of successful application development

Ability to write clean, well-documented code

Excellent complex problem solving and critical thinking skills

Working knowledge of SQL and Microsoft SQL Server

Solid troubleshooting and communication skills

Experience using Microsoft Office tools (Excel, Visio)

Demonstrated analytical and critical thinking abilities

https://hiring.monster.com/employer-resources/job-description-templates/programmer-job-description-sample/

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Monster Employer Resources | Monster.com

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Use this computer programmer job description sample as a template to create your own search-optimized job posting and start turning candidates into applicants. We suggest taking the basic structure provided and revising each section as needed to match your company and the requirements of the position. Find more great ideas for your posting by browsing our computer programmer job listings.

Computer Programmer

[Intro Paragraph] Start your description with a brief (two to three sentences in length) introductory paragraph giving job seekers some information about your company and the work environment for the role being advertised. This is a great opportunity to communicate what you can offer candidates that may be above and beyond what they can find elsewhere. How can you make this position stand out? Be creative and give potential applicants something to get excited about.
Computer Programmer Job Responsibilities:

Code and test programming for software and mobile apps.

Develop and deploy computer applications.

Execute code builds to test and production environments.

Fix bugs in existing code.

Collaborate with product, design, and marketing teams.

Maintain documentation per company standards.

Provide testing, documentation, training, and support for third-party software products.

Resolve user-submitted problems and questions.

[Work Hours & Benefits] Following the list of job responsibilities, we recommend adding a paragraph describing the work hours and benefits for the position. Putting this information here not only helps keep job seekers' attention but can also be an opportunity to highlight some of the specific perks or noteworthy benefits available to successful applicants to help elevate your job posting over the competition. This is also where you should mention any special schedule options or requirements for the role, such as telecommuting opportunities or after-hours/on-call duties.
Computer Programmer Qualifications/Skills:

Understanding of object-oriented software engineering

Track record of successful application development

Ability to write clean, well-documented code

Excellent complex problem solving and critical thinking skills

Working knowledge of SQL and Microsoft SQL Server

Solid troubleshooting and communication skills

Experience using Microsoft Office tools (Excel, Visio)

Demonstrated analytical and critical thinking abilities

Education and Experience Requirements:

Bachelor's degree in computer science, engineering, or a related field

One to three years of experience in software development

Proven experience with OOP languages (Java, C++, VB.NET)

Familiarity with HTML, JavaScript, CSS, and AJAX

Direct experience with Agile software development methodologies a plus

[Call to Action] At the bottom of the computer programmer job description, we recommend adding a call to action to let candidates know what they should do to apply for the position. Adding these instructions will help your listing perform better with candidates by motivating job seekers to take the final step and apply. This step is typically achieved by clicking on the button marked apply at the top of the page, but it can also be instructing applicants to email a resume to a specific email address.
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Computer Programmer Job Description Sample | Monster.com

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Read and revise this customizable computer programmer job description, optimized for conversion and search performance. Learn more at Monster.com.

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Everyone and most every thing needs some type of protection. You protect your home with locks or alarm systems; you protect your car with insurance, and you protect your health by going to the doctor. A major corporation or organization uses a security specialist to protect their software and network security system. A security specialist is smart career path to take to begin your career in cyber security, as you'll be the go-to person responsible for the overall safety of your employer's data.

SECURITY SPECIALIST RESPONSIBILITIES

It is possible for a security specialist's job responsibilities to vary depending upon place of employment. Here are some of the most common duties:

Keep up to date with security updates and improvements

Monitor the security administrations

Protect the system against damage, changes or illegal access

Ensure accurate security tools are running properly, including anti-virus software and firewalls

Implement training to colleagues

Develop system specialized security requirements

SECURITY SPECIALIST REQUIREMENTS

Hard Skills

Knowledgeable in SIEM—Security Information and Event Management

Ability to perform vulnerability and penetrations tests

Understand computer protection programs and software such as anti-malware, anti-virus and firewall

Fluent in programming languages like PHP, Java, C++, C# or C

Comfortable working with UNIX, Windows, and Linux systems

Confident in threat modeling, coding practices and ethical hacking

Understanding of Load Balancer, Proxy Server and Packet Shaper

Soft Skills

Self-motivated

Able to work well with others

Strong communication skills

Critical thinker

Problem Solver

Education
When first starting out, some employers may accept an associate's degree or a few years of work experience. To move your way up into some of the roles described earlier, a technical bachelor's degree is usually going to be required. A master's degree specializing in technical security, or obtaining approved certifications will give you the edge to further your career.
Work Experience
Always inquire with a potential employer for their specific job requirements. Some companies may accept as little as 1-to-2 years of experience while some may require over five years of IT security experience.

REFERENCE SOURCE

https://www.cybersecurityeducation.org/careers/how-to-become-a-security-specialist/

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Everyone and most every thing needs some type of protection. You protect your home with locks or alarm systems; you protect your car with insurance, and you protect your health by going to the doctor. A major corporation or organization uses a security specialist to protect their software and network security system. A security specialist is smart career path to take to begin your career in cyber security, as you'll be the go-to person responsible for the overall safety of your employer's data.

SECURITY SPECIALIST JOB RESPONSIBILITIES

It is possible for a security specialist's job responsibilities to vary depending upon place of employment. Here are some of the most common duties:

Keep up to date with security updates and improvements

Monitor the security administrations

Protect the system against damage, changes or illegal access

Ensure accurate security tools are running properly, including anti-virus software and firewalls

Implement training to colleagues

Develop system specialized security requirements

CAREER PATH AS A SECURITY SPECIALIST

Since a security specialist is essentially an entry level position in the large world of cyber security, there are positions you can start out in at first and then, you can work your way up the ladder into a management role. It is a great career to enter as there are several roads to travel toward executive-level roles.
Entry-Level
System Administrator

Security Administrator

Network Administrator
Senior-Level
IT Project Manger

Security Manager

Security Consultant

Security Architect
Executive-Level
Chief Information

Security Officer

Security Director

SIMILAR JOB TITLES

When researching the perfect job as a security specialist, make sure you keep your eyes open for job postings under other titles that could be classified as a security specialist. Here are some examples:
Network Security Specialist Computer Security Specialist Information Security Specialist
JOB REQUIREMENTS

Hard Skills

Soft Skills

SALARY EXPECTATIONS

The U.S. Bureau of Labor Statistics' current Occupational Outlook Handbook lists the median annual salary for the commensurate job, information security analyst, at $99,730. Depending on where you live and work your salary could be as high as $158,000 per year.

ANNUAL MEDIAN SALARY OF $99,730 Information Security Analyst

UPPER 10% OF THE PROFESSION $158,000 or more
CERTIFICATIONS

Research your future employers' exact job requirements. For security specialists, certifications may not be required when you are first starting your career. They are good idea to work towards while gaining some work experience however, and may help you at promotion time. Some certification options may include:

EC-Council Network Security Administrator (ENSA)

Cisco Certified Network Associate-Routing and Switching (CCNA)

Certified Information Security Manager (CISM)

Certified Information Systems Security Professional (CISSP)

CompTIA's popular base-level security certification (Security+)

A security specialist is an excellent way to jump start your career in cyber security. Whether it is something you are striving for before college, or making a job transition, be prepared by garnering as much knowledge as possible toward what companies are looking for in potential employees. Major job requirements can widely vary among employers and you might miss the opportunity to build up your work experience and knowledge before making the leap towards a senior or management position. However you choose, a security specialist role is a career with many opportunities.

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Learn How to Become a Security Specialist | Cyber Security Education

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Everyone and most every thing needs some type of protection. You protect your home with locks or alarm systems; you protect your car with insurance, and you protect your health by going to the doctor. A major corporation or organization uses a security specialist to protect their software and network security system.

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Web developers design the appearance, navigation and content organization of a website. They use coding languages such as HTML, CSS and JavaScript to manage graphics, applications and content that address a client's needs.

Web Developer responsibilities

Develop features and front-end functionality using HTML5 and CSS

Maintain existing features, write functional and unit tests

Cooperate closely with other team members to deliver high quality code

Deliver projects on time and at a high-quality level

Contribute ideas to product development

Constantly think about improving the customer experience

Web Developer Requirements

Extensive experience in building web applications using HTML5 and CSS

Understanding of modern CSS development methodologies and related experience (eg. CSS-in-JS, CSS modules)

Good knowledge of JavaScript

Understanding of Single Page Application principles, especially React (Gatsby is a plus)

Basic understanding of Git (or similar version control) and code review process

Willingness to work with analytics, A/B tests

Value design, UX and pixel perfection matching during development

Good communication skills, verbal and written

Self-starter, proactive in resolving issues and removing roadblocks

Adherence to software engineering best practices

Willingness to learn and improve

Able to work within a remote and distributed team

Source

https://www.indeed.com/q-web-developer-jobs.html?from=careeradvice-US&vjk=95eb5065d3337967

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Web Developer Jobs, Employment | Indeed.com

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47,877 Web Developer jobs available on Indeed.com. Apply to Web Developer, Web Designer, Java Developer and more!

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A data analyst collects and stores data on sales numbers, market research, logistics, linguistics, or other behaviors. They bring technical expertise to ensure the quality and accuracy of that data, then process, design, and present it in ways to help people, businesses, and organizations make better decisions.

Data Analyst Responsibilities:

Managing master data, including creation, updates, and deletion.

Managing users and user roles.

Provide quality assurance of imported data, working with quality assurance analysts if necessary.

Commissioning and decommissioning of data sets.

Processing confidential data and information according to guidelines.

Helping develop reports and analysis.

Managing and designing the reporting environment, including data sources, security, and metadata.

Supporting the data warehouse in identifying and revising reporting requirements.

Supporting initiatives for data integrity and normalization.

Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.

Generating reports from single or multiple systems.

Troubleshooting the reporting database environment and reports.

Evaluating changes and updates to source production systems.

Training end-users on new reports and dashboards.

Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Requirements:

Bachelor’s degree from an accredited university or college in computer science.

Work experience as a data analyst or in a related field.

Ability to work with stakeholders to assess potential risks.

Ability to analyze existing tools and databases and provide software solution recommendations.

Ability to translate business requirements into non-technical, lay terms.

High-level experience in methodologies and processes for managing large-scale databases.

Demonstrated experience in handling large data sets and relational databases.

Understanding of addressing and metadata standards.

High-level written and verbal communication skills.

https://www.betterteam.com/data-analyst-job-description

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Up to 55% of data collected by companies goes unused for analysis. That's a large chunk of insights companies are missing out on.

In this guide, you'll learn how to analyze data, as well as why it's essential. You'll also discover which data analysis techniques to use for different types of data.

At MonkeyLearn, we've created a set of data analysis tools, so, later on, we'll also show you how you can put them to work on your data.

Let's dive in.

What Is Data Analysis?

Data analysis is the process of cleaning, analyzing, interpreting, and visualizing data to discover valuable insights that drive smarter and more effective business decisions.

Data analysis tools are used to extract useful information from business data, and help make the data analysis process easier.

You'll often hear the term data analytics in business, which is the science or discipline that encompasses the whole process of data management. Not only does data analytics include the data analysis itself, but also data collection, organization, storage, and tools and techniques used to deep-dive into data, as well as those used to communicate the results ‒ for example, data visualization tools.

Data analysis, on the other hand, focuses on the process of turning raw data into useful statistics, information, and explanations.

Why Is Data Analysis important?

Data is everywhere: in spreadsheets, your sales pipeline, social media platforms, customer satisfaction surveys, customer support tickets, and more. In our modern information age it's created at blinding speeds and, when data is analyzed correctly, can be a company's most valuable asset.

Some of it, you may not even know how to access.

Data analysis can help businesses improve specific aspects about their products and services, as well as their overall brand image and customer experience.

In short, analyzed data reveals insights that tell you what your customers need and where you need to focus your efforts.

Do you need to define more effective product strategies or improve business processes? Instead of relying on intuition or experience, analyzing data provides solid evidence to support decisions.

Product teams, for example, often analyze customer feedback to understand how customers interact with their product, what they're frustrated with, and which new features they'd like to see. Then, they translate this insight into UX improvements, new features, and enhanced functionalities.

Through data analysis, you can also detect the weaknesses and strengths of your competition, uncovering opportunities for improvement. Analyze online reviews about your competition to answer questions like: what do customers love or hate about your competitors' products or services?

Top 6 Data Analysis Techniques

There are a number of useful data analysis techniques you can use to discover insights in all types of data, and emerging data analysis trends that can help you stay ahead of your competitors.
Types of data analysis:
Text Analysis

Text analysis, also text analytics or text mining, uses machine learning with natural language processing (NLP) to organize unstructured text data so that it can be properly analyzed for valuable insights. Text analysis is a form of qualitative analysis that is concerned with more than just statistics and numerical values.

By transforming human language into machine-readable data, text analysis tools can sort text by topic, extract keywords, and read for emotion and intent. It tells us "What is happening" as specific, often subjective data. It offers more in-depth and targeted views into why something may be happening, or why something happened.

You can use text analysis to detect topics in customer feedback, for example, and understand which aspects of your brand are important to your customers.

Sentiment analysis is another approach to text analysis, used to analyze data and sort it as Positive, Negative, or Neutral to gain in-depth knowledge about how customers feel towards each aspect.

Try out this sentiment analyzer, below, to get an idea of how text analysis works:

Descriptive Analysis

Descriptive data analysis provides the "What happened?" when analyzing quantitative data. It is the most basic and most common form of data analysis concerned with describing, summarizing, and identifying patterns through calculations of existing data, like mean, median, mode, percentage, frequency, and range.

Descriptive analysis is usually the baseline from which other data analysis begins. It is, no doubt, very useful for producing things like revenue reports and KPI dashboards. However, as it is only concerned with statistical analysis and absolute numbers, it can't provide the reason or motivation for why and how those numbers developed.

Inferential Analysis

Inferential analysis generalizes or hypothesizes about "What happened?" by comparing statistics from groups within an entire population: the population of a country, existing customer base, patients in a medical study, etc. The most common methods for conducting inferential statistics are hypothesis tests and estimation theories.

Inferential analysis is used widely in market research, to compare two variables in an attempt to reach a conclusion: money spent by female customers vs. male or among different age groups, for example. Or it can be used to survey a sample set of the population in an attempt to extrapolate information about the entire population. In this case it is necessary to properly calculate for a representative sample of the population.

Diagnostic Analysis

Diagnostic analysis, also known as root cause analysis, aims to answer "Why did 'X' happen?". It uses insights from statistical analysis to attempt to understand the cause or reason behind statistics, by identifying patterns or deviations within the data to answer for why.

Diagnostic analysis can be helpful to understand customer behavior, to find out which marketing campaigns actually increase sales, for example. Or let's say you notice a sudden decrease in customer complaints: Why did this happen?

Perhaps you fired a certain employee or hired new ones. Maybe you have a new online interface or added a particular product feature. Diagnostic analysis can help calculate the correlation between these possible causes and existing data points.

Predictive Analysis

Predictive analysis uses known data to postulate about future events. It is concerned with "What is likely to happen." Used in sales analysis, it often combines demographic data and purchase data with other data points to predict the actions of customers.

For example, as the demographics of a certain area change, this will affect the ability of certain businesses to exist there. Or as the salary of a certain customer increases, theoretically, they will be able to buy more of your products.

There is often a lot of extrapolative guesswork involved in predictive analysis, but the more data points you have on a given demographic or individual customer, the more accurate the prediction is likely to be.

Prescriptive Analysis

Prescriptive analysis is the most advanced form of analysis, as it combines all of your data and analytics, then outputs a model prescription: What action to take. Prescriptive analysis works to analyze multiple scenarios, predict the outcome of each, and decide which is the best course of action based on the findings.

Artificial intelligence is an example of prescriptive analysis that's at the cutting edge of data analysis. AI allows for prescriptive analysis that can ingest and break down massive amounts of data and effectively teach itself how to use the information and make its own informed decisions.

AI used to require huge computing power, making it difficult for businesses to implement. However, with the rise of AI data analysis software, there are many exciting options available.

Later on, we'll introduce you to some no-code AI data analysis tools that are easy to implement.

Data Analysis Use Cases

Data analysis can be said to go back at least around 5000 years to Sumerian population censuses, but until fairly recently it was mostly concerned with quantitative data. However, with advanced, computer-aided tools, businesses can now analyze qualitative data for even more powerful insights. Take a look at these real-world applications of data analysis.
Some of the top applications for data analysis:
Automatically analyze survey responses

Text analysis allows you to conduct surveys aimed at qualitative results, beyond simple Yes/No or multiple choice questions. You can ask open-ended questions, have them organized by subject or theme, and automatically analyzed for the opinion and feeling of the responder.

Anstice, a research and marketing consultancy, analyzed 12,000 multi-paragraph responses with text analysis solution MonkeyLearn to gauge public opinion around building a large infrastructure project, for example.

Not only did this save them hundreds of employee hours, Anstice was able to deliver powerful insights that shaped business decisions.

Product teams often send out in-app surveys to get instant feedback from users. Resulting in thousands of closed and open-ended responses. While analyzing the quantitative data is straightforward, you'll need to analyze the open-ended responses using text analysis techniques like aspect-based sentiment analysis. This way, product teams can quickly discover new features that customers are requesting, and problems they're having with the product (Bugs, UX, Reliability, etc.), so that they can respond swiftly.

Learn how to analyze survey data, both quantitative and qualitative, for in-depth insights. Or, request a personalized demo, specific to your use case.

Analyze customer support tickets and automatically route them

Advanced data analysis tools can automatically read through customer support tickets, whether from chatbots, emails, phone calls, etc., rate them for urgency, and automatically route them to the correct department or individual employee.

Archer, a tech-based financial services company, needed to respond quickly to customer inquiries due to their time-sensitive nature. By training a topic classification model to their precise needs, Archer were able to increase initial response time by 65% and increase the ticket volume of each employee by 20%.

Categorize potential customers

Using customer analysis techniques, like survey analysis, inferential and diagnostic analysis, and social listening (real-time social data analysis), you can identify and understand your current customers. Then break them into subgroups, identify how your products meet their needs, and use the data to build prescriptive analysis models and locate new potential customers.

Text analysis tools, like keyword extraction, can dig into granular insights about your customer base to follow subjects and themes, and discover new topics, right as they emerge.

Examine the success or failure of marketing campaigns

Use diagnostic analysis to understand why certain marketing campaigns work and others don't and text analysis to follow real-time reactions to your campaigns on social media or online reviews.

What are the keywords used to describe your brand and your products, and how do they change over time? Analyze your customer service tickets to understand how they may relate to individual campaigns. Or monitor social media to maximize your customer engagement.

Predict customer churn

Use predictive analysis to calculate customer churn by analyzing demographic and purchase data. Are your main customers aging out of your brand? Or are demographics changing in a geographic area where your business is high? When you use predictive analysis to keep a constant eye on your customers you can pivot your business to avoid churn or locate a potential new location for growth.

How to Analyze your Data

You'll need to implement a data analysis process to get the most out of your data. While it can be complex to perform data analysis, depending on the type of data you're analyzing, there are some hard and fast rules that you can follow. They include setting goals, collecting, cleaning, and analyzing data, then visualizing it in striking dashboards to make it easy to spot patterns and trends.

Below, we've outlined the seven steps you'll need to follow to analyze your data:

1. Define Your Goals: Setting clear objectives is key and will help determine the type of data that you'll need to collect and analyze.

2. Collect Your Data: Data is everywhere, and you'll want to bring it all into one place ready for analysis. Whether you're collecting quantitative or qualitative data, Excel is a great platform for storing your data, or you could connect data sources directly to your analysis tools via APIs and integrations.

3. Clean Your Data: It's likely that unstructured data will need to be cleaned before analyzing it to gain more accurate results. Get rid of the noise, like special characters, punctuation marks, stopwords (and, too, she, they), HTML tags, duplicates, etc.

4. Integrate Data Analysis Tools: Most tools can easily be integrated via APIs and one-click integrations. If using an API, you might need a developer's help to set it up. Once connected, your data can run freely through data analysis tools.

5. Analyze Your Data: Now that you've connected data analysis tools, you'll need to choose the analysis type you want to perform (which you probably defined in step one).

6. Visualize Your Data: Dashboards are a great way to aggregate your data, and make it easy to spot trends and patterns. Some data analysis tools have in-built dashboards or you can connect to your existing BI tools.

7. Draw Conclusions: Gain actionable insights and make data-based decisions by digging into your data from every angle.

Data Analysis Tools

There are many data analysis tools you can get started with, depending on your technical skills, budget, and type of data you want to analyze. They're also a great way of speeding up manual and time-consuming data analysis, which is key if you need up-to-the-minute insights to make fast decisions.

Here's a quick rundown of the top data analysis tools that can help you perform everything from text analysis to data visualization

MonkeyLearn: No-code machine learning platform that provides a full suite of text analysis tools and a robust API. Easily build custom machine learning models in a point and click interface.

KNIME: Open-source platform for building advanced machine learning solutions, and visualizing data.

RapidMiner For data analytics teams that want to tackle challenging tasks and handle large amounts of data.

Microsoft Excel: Filter, organize, and visualize quantitative data. The perfect tool for performing simple data analysis. Explore common functions and formulas for data analysis in Excel.

Tableau: A powerful analytics and data visualization platform. Connect all your data and create interactive dashboards that update in real-time.

R: A free software environment for statistical computing and graphics. Learning R is relatively easy, even if you don't have a programming background.

Python: The preferred programming language for machine learning. Use it to build data analysis solutions for various use cases.

Get Started with Data Analysis

There is almost no end to the possibilities of data analysis when you know how to do it right. Whether quantitative or qualitative, there are a number of analytical solutions and pathways to get real insights from your data.

Performing text analysis on your unstructured text data can offer huge advantages and potential advancements for your company, whether it comes from surveys, social media, customer service tickets - the list goes on and on. There is a wealth of information to be gathered from text data you may not have even considered.

MonkeyLearn offers dozens of easy-to-use text analysis tools that can be up and running in just a few minutes to help you get the most from your data. Schedule a demo to see how it works.

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What Is Data Analysis? Examples & Why It Matters

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Up to 55% of data collected by companies goes unused for analysis. That's a large chunk of insights companies are missing out on. In this guide, you'll learn how to analyze data, as well as why it's essential. You'll also discover which data analysis techniques to use for different types of data.