Data Analyst

What Do They Do?

  • Imagine a company notices low sales in some products.
  • The company wants to understand why?.
  • Some experts study data (sales, customer feedbacks and market trends) to find the reasons and suggest solutions
  • These professionals are called Data Analysts.
  • 👉 In simple words: Data Analysts study data and numbers to help companies make better decisions.

🎓 How to Become a Data Analyst

The courses to pursue this career are given below :

These Data Analytics programs help students learn about statistics, business analysis, computer tools, data visualization, and decision-making using data.

B.Sc. / B.Sc. (Hons.) in Data Science / Analytics

Duration: 3 – 4 Years

Eligibility: 10+2 Pass (Science or Commerce stream with Mathematics)

Entrance Exam: CUET UG / State or University Entrance Exams

Bachelor of Computer Applications (BCA) in Data Science

Duration: 3 Years

Eligibility: 10+2 Pass (Any stream; Mathematics or Computer Science preferred)

Entrance Exam: CUET UG / Merit-Based Admission

B.A. (Hons.) in Economics / Statistics

Duration: 3 – 4 Years

Eligibility: 10+2 Pass (Any stream with strong Mathematics foundation)

Entrance Exam: CUET UG / University Entrance Exams

B.Tech in Computer Science (Data Analytics)

Duration: 4 Years

Eligibility: 10+2 Pass (Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / State-Level Engineering Entrance Exams

📝 Exam Details

(Click on the exam name to see full details)

CUET UG JEE Main University Entrance Exam

Note: Data Analytics programs include subjects like statistics, data visualization, programming, databases, business intelligence, and problem-solving using data.

These advanced Data Analytics programs help students specialize in big data, statistics, machine learning, business intelligence, and data-driven decision making.

M.Sc. in Data Analytics / Data Science

Duration: 2 Years

Eligibility: Bachelor’s degree in Computer Science, Statistics, Mathematics, or Engineering

Entrance Exam: CUET PG / IIT JAM / University Entrance Exams

Master of Computer Applications (MCA)in Data Science

Duration: 2 Years

Eligibility: BCA or Bachelor’s Degree in Computer Science / Related Fields

Entrance Exam: NIMCET / CUET PG / State Exams

M.Sc. in Statistics

Duration: 2 Years

Eligibility: Graduation with Statistics, Mathematics, or Economics as a major subject

Entrance Exam: CUET PG / IIT JAM / University Entrance Exams

M.B.A. in Data Sciences and Data Analytics

Duration: 2 Years

Eligibility: Graduation from a recognized university with a minimum of 50% marks

Entrance Exam: SNAP / University Entrance Exam

M.Tech. in Data Analytics

Duration: 2 Years

Eligibility: Bachelor's degree in Engineering/Technology or equivalent qualification

Entrance Exam: GATE

Post Graduate Diploma in Data Science (PGDDS)

Duration: 1 Year

Eligibility: Graduate in quantitative fields like Engineering, Science, Commerce, or Economics

Entrance Exam: Merit-Based Admission / Personal Interview

Note: Advanced Data Analytics programs include subjects like machine learning, business analytics, artificial intelligence, statistical modeling, and big data technologies.

These online Data Analytics programs help students learn data visualization, statistics, spreadsheets, SQL, dashboards, business intelligence tools, and data-driven decision making.

Google Data Analytics Professional Certificate

Duration: 3 – 6 Months

Eligibility: Open to All

Provider: Coursera

Microsoft Power BI Data Analyst Professional Certificate

Duration: 3 – 5 Months

Eligibility: Open to All

Provider: Microsoft

IBM Data Analyst Professional Certificate

Duration: 4 Months

Eligibility: Open to All

Provider: IBM

Certificate in Mastering Data Analytics with Dashboards

Duration: 150 hours

Eligibility: Open to All

Provider: ASAP Kerala

Certificate in Data Analytics for Finance Professionals

Duration: 12 - 15 hours

Eligibility: Open to All

Provider: ACCA

Note: Most online Data Analytics courses focus on practical projects, dashboard creation, data visualization, spreadsheet analysis, SQL practice, and real-world business case studies instead of written exams.

STEP 1

Imagine you are working as a Data Analyst in a company.

STEP 2

You collect information from websites, apps, surveys, and company records.

STEP 3

You use tools like Excel, SQL, and Power BI to study data.

STEP 4

You find patterns and trends that help companies make decisions.

STEP 5

You create charts, dashboards, and reports for managers and teams.

STEP 6

If solving problems using numbers and data excites you, this career may suit you.

Where do Data Analysts work? (Job Roles + Growth)

Data Analyst work in : Technology companies, Financial Institutions, Consulting firms, Market Research companies, Healthcare Organisations, Retail and e-commerce companies, government organisations and other businesses.

🟢 Beginner Roles

Junior Data Analyst

(After B.Sc. / BCA / Certifications)

Cleans data and tracks business trends.

Research Assistant

(After B.A. / B.Sc. in Economics or Statistics)

Collects data and prepares reports.

Operations Analytics Trainee

(After 12th + Analytics Certificate)

Updates spreadsheets and tracks performance.

🔵 Mid-Level Roles

Senior Data Analyst

(Graduate Degree + Experience)

Builds dashboards and analyzes databases.

Market Research Analyst

(MBA / Master’s in Economics)

Studies customer and market trends.

Financial Data Analyst

(B.Com / Finance Degree)

Analyzes budgets and investment data.

🟣 Advanced Roles

Data Analytics Manager

(5+ Years Experience)

Leads analytics teams and business reporting.

BI Developer

(Advanced Certifications + Experience)

Designs company reporting systems.

Research Consultant

(Ph.D. / Advanced Master’s)

Advises organizations using research data.

Global Opportunities for Data Analysts

Data Analysts can work in finance, healthcare, technology, marketing, and business sectors worldwide.

Many countries hire data professionals to support business decisions and digital growth.

International Technology Companies

Analyze user data, business performance, and digital trends for global tech firms.

Global Banking & Finance Firms

Work on financial reports, investments, fraud detection, and market analysis.

E-Commerce Companies

Study customer behavior, sales performance, and online shopping trends.

Healthcare & Medical Organizations

Analyze healthcare records, patient data, and hospital performance.

International Consulting Firms

Help companies improve business strategies using analytics and reports.

Research & International Universities

Support academic research, surveys, and statistical data projects.

(Click Yes or No for each question)

1. Do you like looking at information (like which videos get more views or likes) and trying to understand why?

2. Have you ever wondered why some products get more offers or bigger discounts?

3. Have you ever wondered why the same type of videos appear again and again?

4. Imagine you are working as a Data Analyst for a company that sells dresses. The company wants to know which products are selling more and which are selling less. You study the sales of all the dresses. You find out which dress is selling more and which are selling less. You share all these findings with the owner of the company. Would you be interested in doing this?

5. Imagine a company notices that its products are not selling. You study the sales information (data), compare it with past few months. You find out why the sales have decreased. You help the company to understand the situation better. Does this excites you?