Information Technology
Data Analyst
Other names: Operations Data Analyst · Business Analyst · Manufacturing / Energy Analytics Analyst
In short: you turn raw factory, energy and operations data into clear insights that help managers and engineers make better, faster decisions.
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In brief
A Data Analyst in manufacturing, energy or operations analytics turns production, maintenance, quality, supply-chain and energy data into useful insights for managers and engineering teams. In India, you can enter after a B.Tech/B.E., BCA or B.Sc, once you build practical skills in SQL, Excel, Python and Power BI plus a small project portfolio. Starting pay is about ₹3.5-8 lakh a year, growing well with experience.
Starting salary
₹3.5-8 lakh/yr
With experience
₹18-35 lakh/yr
Job growth
Growing
Openings
Steady
Study needed
Degree + skills
Field
Data & Analytics
"Lakh/yr" = earnings in one year (1 lakh = ₹1,00,000). Typical India figures, shown as a guide — not a promise. Source: Indian job-market data (industry salary sites & NSDC skills reports), 2026.
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What does this job really involve?
Data Analysts in industry collect data from production, maintenance, quality, supply-chain and energy systems, clean it, and study it to find patterns. They then explain what the numbers mean so managers and engineers can act on the findings.
Picture this: the analyst who studies a factory's machine data, spots which line wastes the most energy, and shows it in a clear dashboard so the team can fix it — that turning of raw data into decisions is what a data analyst does.
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Would you enjoy this work?
It may suit you if…
- You are ready to learn SQL, Python and dashboard tools seriously.
- You want to combine engineering or domain knowledge with data-driven decisions.
- You enjoy building projects with real or realistic operations datasets.
- You like asking 'why did this happen?' and finding the answer in numbers.
- You can explain findings clearly to people who are not from a data background.
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Pay, demand & where it's heading
Industrial analytics demand is growing as companies use data for efficiency, maintenance, quality and energy savings. Entry-level competition is high because engineering, statistics and computer-science graduates all apply, so a portfolio of manufacturing or operations projects helps you stand out.
Who hires for this
Tata SteelReliance IndustriesLarsen & ToubroAdani GroupJSW SteelSchneider Electric IndiaAccenture
The road ahead: as more Indian factories, energy firms and operations teams use data for efficiency, quality and maintenance, analysts who understand both the tools and the business are expected to stay in growing demand.
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A normal day on the job
Calm, screen-based work — pulling data together, analysing it and sharing clear reports and dashboards.
- Collect and clean data from different systems.
- Write SQL queries and analyse data with Python or Excel.
- Build dashboards and reports in Power BI or Tableau.
- Explain insights and trade-offs to operations teams.
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What you'll need to get in
- A graduate degree — B.Tech/B.E., BCA, B.Sc or similar.
- Practical skills in SQL, Excel, Python and a tool like Power BI or Tableau.
- A basic grip on statistics and how operations or manufacturing work.
- A small project portfolio using real or realistic datasets.
- Optional bridges: a PG Diploma in Data Science, an MBA in Business Analytics, or an M.Tech via GATE.
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Ways to get in — the study paths
There's more than one road. Pick the one that fits you:
1. Direct entry after a skills portfolio and internship · skill-based
any relevant graduate degree (B.Tech / BCA / B.Sc) → learn SQL, Python and Power BI → build 2 operations / analytics projects → analytics internship or trainee role → Data Analyst
Practical projects and skills matter most for hiring.
2. PG Diploma in Data Science or Business Analytics · structured bridge
graduate degree → PG Diploma in Data Science / Business Analytics → analytics role → Data Analyst
A guided way to move from any degree into analytics.
3. MBA/PGDM in Business Analytics via CAT/XAT/NMAT/CMAT · analytics + management
graduate degree → clear CAT / XAT / NMAT / CMAT → MBA/PGDM in Business Analytics → Analyst / Analytics roles
Combines analytics with broader management roles.
4. M.Tech/M.E. in Data Science or Operations Research via GATE · for technical depth
B.Tech/B.E. → clear GATE → M.Tech in Data Science / Industrial Engineering / OR → Technical Data Analyst
Useful when you want deeper technical analytics skills.
Good to know: There is no single entrance exam to become a data analyst — your skills and portfolio matter most. You can enter from a B.Tech, BCA, B.Sc or similar degree by learning SQL, Excel, Python and Power BI and building real projects. A PG Diploma, an MBA in Business Analytics (CAT/XAT/NMAT/CMAT) or an M.Tech via GATE are optional bridges, not a must.
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How your career grows
You move up step by step as your skill builds:
START
Data Analyst Trainee
Learns tools and data basics.
NEXT
Data Analyst
Analyses data and builds dashboards.
GROW
Senior Data Analyst
Owns bigger analysis and reporting.
LEAD
Analytics Consultant / Operations Analyst
Solves harder business problems with data.
TOP
Analytics Manager / Product Analytics Lead
Leads analytics for a team or product.
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Related careers to explore
Closely related
Business Analyst
Links data to business decisions.
Operations Analyst
Improves day-to-day operations with data.
Supply Chain Analyst
Plans the flow of goods and materials.
Nearby roles
Industrial IoT Analyst
Analyses data from connected machines.
Quality Analyst
Uses data to improve product quality.
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Common questions
Which degree do I need?+
A B.Tech/B.E., BCA, B.Sc or similar graduate degree works. Analytics skills and a project portfolio matter more than the exact degree.
Is there an entrance exam?+
No single exam. Hiring is skills- and portfolio-based. An MBA in Business Analytics (CAT/XAT/NMAT/CMAT) or an M.Tech via GATE is an optional bridge.
Which tools should I learn?+
Start with SQL, Excel and Python, then a dashboard tool like Power BI or Tableau, plus basic statistics.
Does AI replace data analysts?+
AI speeds up cleaning, code and report drafting, but a human is needed to pick the right question, check data quality and explain trade-offs.
What is the starting pay?+
Usually around ₹3.5-8 lakh a year, rising to about ₹18-35 lakh in senior roles. A guide, not a promise.
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