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Data Analyst Resume 2026 - SQL, Power BI and dashboard sample for India free

Антон Литвинов
Антон Литвинов Founder, AI Resume Master
in 𝕏
Published: 25.09.2026 Updated: 25.09.2026

A data analyst resume in India is screened on three things: the tools you can open on day one, the business questions you answered with them, and how soon you can join. SQL and Excel are assumed, Power BI or Tableau is what separates you from the pile, and Python with pandas moves you from reporting into analytics. Service companies in Pune, Chennai and Hyderabad hire in volume and read your CV through an ATS first; product companies in Bengaluru and Gurgaon put you through a SQL round and a case; startups want one person who owns a dashboard end to end. Below is a full sample with dashboards, query work and business impact in numbers, plus the fresher route through certifications and a public portfolio.

What you get

  • A complete data analyst resume sample
  • 3 PDF templates
  • A formula for writing dashboards and SQL with numbers
  • 6 mistakes that cost shortlists
Create resume → 5 minutes - AI suggestions - ATS friendly
Ready sample

Data analyst resume sample

The structure that clears screening at both service companies and product firms: stack first, dashboards and analyses with their users, and impact in numbers.

Tools in the first two lines

SQL, Excel, Power BI or Tableau, Python. Recruiters search Naukri on these exact words, so they belong in your headline and summary, not only in a skills box at the bottom.

Impact, not a task list

'Cut monthly MIS from 3 days to 4 hours' beats 'prepared MIS reports' in every shortlist, because the second line describes a chair, not a person.

Location and notice period up top

Indian hiring runs on joining dates. Current city, preferred city and notice period in the header save the recruiter a call and keep you in the pipeline.

ATS friendly

One opening can pull several hundred applications and the first cut is automated: single column, plain headings, tools written as text, no skills hidden inside an image or a table.

Sample resume text

Use it as a reference: keep the structure and wording, put in your own facts and numbers.

Sneha Ramachandran

Data Analyst (SQL, Power BI, Python)
Bengaluru, Karnataka
sneha.analyst@example.com
+91 98450 00000
linkedin.com/in/example

Profile

Data Analyst with 3 years in e-commerce and retail analytics, Bengaluru. SQL (window functions, CTEs, query tuning), Power BI with DAX, Python and pandas. Built 14 dashboards used daily by category, supply chain and finance, cut monthly MIS preparation from 3 days to 4 hours, and surfaced a return-abuse pattern that lifted category contribution by 1.8%. Notice period 30 days, open to Bengaluru and Hyderabad.

Experience

Data Analyst2023 - present

Kavira Retail Technologies Pvt Ltd (e-commerce marketplace), Bengaluru

  • Rebuilt the daily category MIS as a Power BI dashboard over a 12 crore row order table: preparation fell from 3 days of manual Excel work to a 20 minute scheduled refresh, and 60+ users now self-serve
  • Analysed return patterns across 9 categories in SQL and Python, found an abuse pattern in fashion returns, and worked with operations on a check that lifted category contribution by 1.8%
  • Cut warehouse-level stockout reporting latency from weekly to next-day by moving the pipeline to BigQuery with incremental loads
  • Ran the read-out of 6 pricing experiments for the category team, including two where the recommendation was not to ship
Junior Data Analyst (MIS and Reporting)2021 - 2023

Saranth Infotech Services Pvt Ltd (IT services, US retail client), Pune

  • Owned daily and monthly reporting for a US retail client processing about 40 lakh order rows a month, delivered against a 9 am EST SLA with zero missed deadlines in 18 months
  • Automated 11 recurring Excel reports with Power Query and scheduled SQL jobs, saving roughly 30 analyst hours a month across the team
  • Built the reconciliation check between the order system and the finance ledger that cut month-end mismatches from around 40 to under 5
Data Analyst Intern2020 - 2021

Nirvath Logistics Pvt Ltd, Bengaluru

  • Cleaned and standardised 3 years of delivery data across 4 source systems for a delivery time-to-promise study
  • Built the first Tableau dashboard for hub-level delivery performance, later used in the weekly operations review

Education

Mount Carmel College, Bengaluru University2017 - 2020

B.Sc Statistics (First Class, 76%)

Skills

SQL (MySQL, PostgreSQL)Power BI, DAXTableauPython, pandas, numpyAdvanced Excel, Power QueryGoogle BigQueryGoogle Analytics 4Data modelling and ETL basicsA/B test readingE-commerce metrics (GMV, AOV, RTO)

Certifications

  • Microsoft Certified: Power BI Data Analyst Associate (PL-300) - 2024
  • Google Data Analytics Professional Certificate - 2022
  • SQL for Data Science, University of California Davis (Coursera) - 2021
  • Tableau Public portfolio: 4 published dashboards

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Profile

Data analyst profile summary

Three or four lines: years of experience, the domain you know (BFSI, e-commerce, healthcare, logistics), your stack, and one number that proves impact. The hiring manager decides from this paragraph whether to send you the SQL test, so nothing generic belongs here.

A fresher writes the same paragraph from projects instead of jobs: the certification you finished, the datasets you actually cleaned, the dashboard you published, and the tools you can defend when someone opens your query and asks why you used a window function there.

WeakHardworking and detail-oriented data analyst with good knowledge of SQL and Excel. Seeking a challenging position in a reputed organisation where I can utilise my skills and grow with the company.
StrongData Analyst with 3 years in e-commerce analytics, Bengaluru. SQL (window functions, CTEs, query tuning), Power BI with DAX, Python and pandas. Built 14 dashboards used daily by category, supply chain and finance, cut monthly MIS preparation from 3 days to 4 hours, and surfaced a return-abuse pattern that lifted category contribution by 1.8%. Immediate joiner, 30 days notice.
Tip
Name the SQL you actually write - window functions, CTEs, query tuning - instead of the bare word 'SQL'. Every second resume claims it, and the screening round is exactly where the claim gets tested.
Skills

Data analyst skills for a resume

A query language, a spreadsheet, a BI tool, some Python, and the vocabulary of one business domain. Every line here has to survive the question 'show me how you did that'.

Hard skills

  • SQL: joins, aggregations, window functions, CTEs, query tuning (MySQL, PostgreSQL)
  • Advanced Excel: pivot tables, XLOOKUP and INDEX-MATCH, Power Query, basic macros
  • Power BI: data model, DAX measures, row-level security, scheduled refresh
  • Tableau: calculated fields, LOD expressions, workbooks published on Tableau Server or Public
  • Python for analysis: pandas, numpy, matplotlib, Jupyter notebooks
  • Data cleaning and validation: deduplication, null handling, reconciliation with the source system
  • Applied statistics: mean against median, cohorts, reading an A/B test, limits of correlation
  • ETL basics: staging tables, incremental loads, scheduled jobs, simple Airflow DAGs
  • Google Analytics 4 and funnel or campaign reporting
  • Domain metrics: BFSI (NPA, delinquency, TAT) or e-commerce (GMV, AOV, RTO, repeat rate)

Soft skills

  • Turning a vague business question into a query you can actually run
  • Explaining a number to a category or operations head without analytics jargon
  • Saying plainly when the data is not clean enough to answer the question asked
  • Chasing the source-system owner until a broken field is fixed at the source
  • Documenting a dashboard so it survives after you change teams
  • Prioritising ad-hoc requests without missing the monthly MIS deadline
  • Presenting to leadership: one slide, one insight, one recommendation
  • Reconciliation discipline - your numbers match finance every month
  • Picking up a new domain fast when you move from BFSI to retail
  • Written English for reports read by onsite teams and overseas clients
Experience

How to write data analyst experience

Formula: business area plus what you built or analysed plus the tool plus a number. Not 'prepared reports', but which report, for whom, on what data, and what changed once it existed.

In an IT services team the client name is often under NDA - name the domain and the scale instead. 'US retail client, 40 lakh order rows a month' tells a reader far more than an internal account code ever will.

Weak- Prepared daily and monthly MIS reports in Excel and shared them with management.
Strong- Rebuilt the daily category MIS as a Power BI dashboard over a 12 crore row order table: preparation dropped from 3 days of manual Excel work to a 20 minute scheduled refresh, and 60+ users in category, supply chain and finance now self-serve instead of raising ad-hoc requests.
What to include
Domain and data volume - tools - dashboards or analyses built - who uses them - time saved, cost avoided or revenue affected - who you reported to.
Education

Education and certifications

Analytics is one of the few Indian white-collar roles where the portfolio outweighs the degree, but the degree still clears the first filter. B.Tech, B.Sc Statistics, BCA, B.Com and MBA all land data jobs. Write the full college, the university, the year of passing and your percentage or CGPA - Indian recruiters still ask, and an education block with no score reads as something hidden.

  • Degree, college, university and year of passing, with percentage or CGPA
  • Class 12 and Class 10 percentage only while you are a fresher - drop them after 2-3 years of work
  • Certifications: Google Data Analytics, Microsoft PL-300 (Power BI), Tableau Desktop Specialist
  • SQL or Python courses named with the project you finished, not just the enrolment
  • MBA or PGDM in business analytics, with the specialisation spelled out
  • Employer-run analytics academies and internal certifications - they count, name them
  • Any published work: a Kaggle notebook, a blog post explaining an analysis, a Tableau Public profile
Careful
Do not list a certification you are still studying for. 'Pursuing PL-300' takes a line that a finished project would use better - mention it in the interview instead.
Freshers

Data analyst resume for freshers

Entry level analytics is crowded in India: a single Naukri posting can draw several hundred applications, and most of them are the same certificate with no work attached to it. What separates a fresher is a small number of finished, public projects you can be questioned on line by line.

Take a real dataset - a public Indian government dataset, a Kaggle set, even your college fest ticket sales - clean it, answer three business questions with it, publish the dashboard on Tableau Public or Power BI, and put the link in your resume. Three projects like that outweigh any number of course badges.

  • 2-3 portfolio projects with public links (Tableau Public, Power BI, GitHub)
  • One finished certification: Google Data Analytics or Microsoft PL-300
  • Internship or live project, even unpaid, written with what you delivered in numbers
  • Provable SQL practice: a HackerRank, LeetCode or StrataScratch profile link
  • Final-year project written like work: data, method, tools, result

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Mistakes

Common mistakes

A tool list with nothing behind it

'SQL, Python, R, SAS, Power BI, Tableau, Excel, Spark' in one line reads as a syllabus, not a skill set. List what you have used on real data, and expect a test on every word.

Reports with no reader

A report matters because somebody used it. Name them: category managers, branch heads, the CFO, a client team in the US. A dashboard with no users is a file.

No numbers anywhere

Rows processed, dashboards built, hours saved, users served, error rate reduced. Without figures, three years of work reads exactly like three months.

Notice period left out

Indian recruiters shortlist by joining date as much as by skill. Current city, preferred city and notice period in the header end a whole round of emails.

Personal details that do not belong

Aadhaar number, PAN, marital status, father's name and a photo add nothing to an analyst CV, and putting an Aadhaar or PAN number on a document you email to strangers is a genuine risk.

One resume for services and product roles

Delivery roles at a services company reward reporting discipline, SLAs and client communication. Product analytics rewards experiments, funnels and retention. Reorder the bullets for each application.

Takeaways

Takeaways

Remember

  • SQL, Excel and a BI tool in the first screen
  • Dashboards and analyses named with their users
  • Every bullet carries a number
  • City, preferred city and notice period in the header
  • One domain vocabulary - BFSI, e-commerce or logistics
  • No Aadhaar, no PAN, no photo
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FAQ

Frequently asked questions

SQL and Excel are the baseline - nobody shortlists you for them, but their absence removes you. The differentiator is a BI tool: Power BI dominates enterprise and services hiring, Tableau is common in product companies and consulting. Python with pandas is the third layer and is what moves a reporting profile into analytics. Pick four or five you can defend under questioning and put them in the headline, the summary and the skills section, in the same words the job ad uses.
For MIS and reporting roles at service companies, no - strong SQL, Excel and Power BI will get you hired. For product analytics in Bengaluru or Gurgaon it is increasingly assumed, because the work involves ad-hoc analysis that does not fit a dashboard. If you are learning it, do not write 'basic Python'. Write the one notebook you finished and link it.
Do not put a number on the resume at all - keep expected CTC for the application form and the recruiter call, where it belongs. To decide the number, read current listings on Naukri, LinkedIn and AmbitionBox for your exact city, experience band and tool set, because packages move fast and last year's figures mislead. What raises the package is consistent: real SQL depth rather than drag-and-drop reporting, a BI tool you own end to end, a cloud warehouse such as BigQuery, Snowflake or Redshift, a domain the employer sells into, and a product company over a services bench. Quote a range drawn from live postings, and keep your current CTC and notice period consistent everywhere, because both get verified.
Yes, one line in the header: current location, preferred location, notice period. Indian recruiters plan around joining dates and a 90-day notice changes which roles you fit. Hiding it wastes a week of everyone's time and never works in your favour, because it comes out in the first call anyway.
Rewrite the same work in analyst language without inventing anything. Instead of 'maintained MIS trackers', write what the tracker measured, how many rows and sources it pulled from, what you automated, and what decision it fed. Add one thing MIS rarely has: a question you answered rather than a number you reported. Then move your SQL and BI tool to the top, because that is the bridge.
On its own, no. Google Data Analytics and PL-300 are now so common at entry level that they function as a ticket to be read, not a reason to be called. The certificate plus two or three public projects where you can be questioned on your cleaning choices, your joins and your chart selection is what converts. Interviewers ask about the project, never about the badge.
Services companies hire more, train you on client processes, and give you breadth across domains, but the work leans toward reporting and SLAs. Product companies go deeper into experiments, funnels and retention and expect stronger SQL and Python, with a harder interview. Packages differ between the two and by city - check live postings for both before you decide. Early on, the safer move is whichever gives you real data volume and a stakeholder who argues with your numbers.
Yes - the full sample above, and all templates on this page. You can assemble your own resume from any of them in the builder for free and see the result; downloading the finished PDF is paid, by subscription or a one-time payment. The builder keeps the layout ATS safe, which matters when one opening collects hundreds of applications.
Useful reading

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Tips

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