Beta VersionWhat's new
ResumeGuru

Data Analyst Resume Sample

Data analyst openings filter on SQL fluency, BI tool experience, and the business questions you have answered. This sample puts each in the position recruiters read first, with project outcomes that prove the skill rather than list it.

The full resume, in your choice of template

Every one of these is a real CareerOS template rendering this exact document — not a screenshot, and not a different person's resume. Pick one and the document below restyles into it.

Template · Modern

See all 22 side by side ↓

Left-aligned, clean sans, accent tab headings. The contemporary default.

Ananya Rao

Data Analyst

Bengaluru, Indiaananya.rao@email.com+91 98XXX XXXXXLinkedIn: linkedin.com/in/ananyaraoGitHub: github.com/ananyarao

Summary

Data Analyst with 4 years turning product and operations data into decisions for retail and fintech teams. Strong in SQL and Python, and used to owning a question end to end, from pulling the data to defending the recommendation in a room with the people it affects.

Experience

  1. Data Analyst · Razorpay

    Mar 2023Present
    Bengaluru, India
    • Own merchant-retention reporting for a portfolio of 40,000 accounts, replacing a weekly manual pull with a dbt model the growth team self-serves.
    • Found that 31% of first-month churn traced to a single failed-settlement email, and the fix recovered an estimated 1.4 crore in annualised TPV.
    • Built the cohort framework the leadership review runs on: activation, 30-day retention and revenue per merchant, split by acquisition channel.
    • Cut the daily pipeline runtime from 52 minutes to 9 by rewriting three correlated subqueries as window functions.
  2. Business Analyst · Myntra

    Jul 2021Feb 2023
    Bengaluru, India
    • Analysed return behaviour across 2.1 million orders and identified size-chart inconsistency as the driver behind 22% of apparel returns.
    • Ran the A/B analysis for the size-recommendation rollout, which cut returns 6.3% on the treated categories.
    • Automated the category-manager dashboard in Looker, removing roughly 15 analyst-hours a week of ad hoc requests.

Skills

Languages:
SQL, Python (pandas, NumPy), R
Tools:
dbt, Looker, Tableau, Airflow, BigQuery
Methods:
A/B testing, Cohort analysis, Regression, Funnel analysis

Education

  • B.Tech, Computer Science

    NIT Surathkal · 8.4 CGPA
    20172021

Certifications

  • Google Advanced Data Analytics (2023)

Languages

English, Hindi, Kannada

Example Data Science & Analytics, shown in the Modern template. Written for this page and built with CareerOS. Not a real person, and the contact details are placeholders.

Data Analyst resume format

This Data Analyst sample runs 7 sections in one column, reverse-chronological, with the experience above the education. In order:

  • Header — name, job title, city, email, phone and profile links
  • Summary — 47 words, no heading beyond the label
  • Experience — 2 roles, 7 bullets, newest first
  • Skills — 12 listed under 3 headings
  • Education — 1 qualification
  • Certifications — 1
  • Languages — English, Hindi and Kannada

Nothing is centred, nothing is in a table, and no section is a graphic. Everything a parser needs to read is text in the order a human reads it.

The summary this Data Analyst resume opens with

47 words, and it opens on "Data Analyst with 4 years…" rather than on what the candidate is looking for.

Data Analyst with 4 years turning product and operations data into decisions for retail and fintech teams. Strong in SQL and Python, and used to owning a question end to end, from pulling the data to defending the recommendation in a room with the people it affects.

It is written to be read in one pass: what this Data Analyst does, where, and what they are measured on. Nothing in it repeats a bullet further down verbatim.

What the experience section looks like on a Data Analyst resume

2 roles, 7 bullets, 7 of them carrying a number.

  • Data Analyst at Razorpay — Mar 2023 to Present, 4 bullets
  • Business Analyst at Myntra — Jul 2021 to Feb 2023, 3 bullets

The line that does the most work here:

Own merchant-retention reporting for a portfolio of 40,000 accounts, replacing a weekly manual pull with a dbt model the growth team self-serves.

Skills a Data Analyst resume lists

12 skills, split into 3 groups (Languages, Tools and Methods) rather than one long comma-separated line.

Languages
SQL · Python (pandas, NumPy) · R
Tools
dbt · Looker · Tableau · Airflow · BigQuery
Methods
A/B testing · Cohort analysis · Regression · Funnel analysis

Education and certifications on a Data Analyst resume

One qualification, listed after the experience because the experience is what is being hired.

  • B.Tech in Computer Science · NIT Surathkal · 2017–2021 · 8.4 CGPA

Certifications, named in full with the year:

  • Google Advanced Data Analytics (2023)

ATS keywords in this Data Analyst sample

An applicant tracking system matches text. These 14 terms are the ones this document actually contains — its skills, the titles it has held, the certifications it names — not a wishlist bolted onto the bottom of the page.

  • SQL
  • Python
  • dbt
  • Looker
  • Tableau
  • Airflow
  • BigQuery
  • A/B testing
  • Cohort analysis
  • Regression
  • Funnel analysis
  • Data Analyst
  • Business Analyst
  • Google Advanced Data Analytics

Check which of these your own resume is missing

What goes wrong on Data Analyst resumes

Each of these is what the sample above avoids, with the sample's own line as the evidence:

  • Bullets that list duties instead of results. 7 of the 7 here carry a number: "Ran the A/B analysis for the size-recommendation rollout, which cut returns 6.3% on the treated categories."
  • An objective that runs five lines and says nothing. This summary is 47 words.
  • One undifferentiated list of every tool ever opened. This sample separates Languages, Tools and Methods.
  • Undated roles, which read as a gap being hidden. Every role here is dated, Jul 2021 to Present.
  • Certifications mentioned inside a paragraph. This one lists them separately, starting with Google Advanced Data Analytics (2023).
  • A contact line a recruiter has to hunt for. Here it is the first thing on the page, one line under Ananya Rao: city, email, phone, LinkedIn and GitHub.

What this Indian Data Analyst resume leaves out

The whole header is 7 lines — the name Ananya Rao, the job title Data Analyst, the city (Bengaluru, India), an email address, a phone number, a LinkedIn link and a GitHub link. Six things an Indian resume template will still offer you, none of which are here:

  • A photograph. The document opens on the name Ananya Rao and the title Data Analyst, which is what a shortlisting screen reads.
  • Date of birth, age, marital status and gender. None of them predict whether a Data Analyst can do the work.
  • Father's or husband's name, which belongs on a form, not on a resume.
  • A full postal address. The city line is "Bengaluru, India" and stops there — recruiters filter on the city.
  • Current and expected CTC. It is a negotiation, and it is not a qualification.
  • A declaration paragraph with a signature. The document ends on the certifications.

Naukri headline for a Data Analyst

Naukri shows a resume headline at the top of the profile, and it is the line a recruiter reads before opening anything. Built from this sample — its title, the experience it shows, the skills it leads with — it reads:

Data Analyst | 5 yrs | SQL, Python (pandas, NumPy), R, dbt

Every term in it appears in the document below, so the profile and the resume answer the same search instead of two different ones.

Fresher or experienced: which version of this Data Analyst resume you need

This one is written at 5.1 years of experience — Mid-Level, 3-8 yrs.

As a fresher in the same role, invert it: B.Tech in Computer Science, NIT Surathkal moves to the top, internships and coursework carry the middle of the page, and the summary names the skills instead of the scope.

See every mid-level sample (3-8 yrs)

The Ultimate Guide to Crafting the Perfect Data Analyst Resume Sample

Welcome to ResumeGuru, your trusted platform for building a powerful Data Analyst Resume that captures attention and gets interviews. Whether you’re an entry-level candidate or an experienced analyst, our Data Analyst Resume Samples and tips will guide you toward creating a resume that stands out in today’s data-driven world.

Why You Need a Data Analyst Resume Sample

In a competitive market, it’s not enough to list your degree and technical skills. Employers expect a Data Analyst Resume that tells a clear story: how you extract insights, solve problems, and drive decisions.

Our Data Analyst Resume Sample shows you exactly how to format your achievements and optimize your resume for ATS systems — ensuring that your profile gets noticed by hiring managers and recruiters.

Explore Custom Data Analyst Resume Templates

ResumeGuru’s Data Analyst Resume Templates are created specifically for the evolving needs of data roles across industries. These templates:

  • Follow ATS-friendly designs that improve your chances of passing resume screening
  • Highlight technical proficiencies, analytical thinking, and project outcomes
  • Are fully customizable to showcase your unique expertise and career goals

Our professionally designed templates ensure your Data Analyst Resume is structured, easy to read, and focused on impact.

Uncover Tips, Examples, and More for Your Data Analyst Resume Sample

Building a Data Analyst Resume becomes easier when you know what employers prioritize. Here are some proven strategies:

  • Start With a Clear Professional Summary: Highlight your experience level, core data skills, and focus areas like business intelligence or predictive analytics.
  • Highlight Key Skills: Emphasize technical proficiencies (SQL, Python, Excel, Tableau, Power BI) and analytical skills (data visualization, statistical modeling, reporting).
  • Use Action-Packed Verbs: Words like “analyzed,” “interpreted,” “optimized,” “visualized,” and “forecasted” create more impact.
  • Quantify Your Achievements: Back up your claims with numbers. For example, “Increased operational efficiency by 12% through data-driven process improvements.”

Browse our diverse collection of Data Analyst Resume examples to find inspiration and learn how to frame your technical and business skills effectively.

The Anatomy of an Impressive Data Analyst Resume

An effective Data Analyst Resume has a clear, structured flow. Here’s what to include:

  1. Contact Information Your full name, phone number, professional email address, and optionally, LinkedIn or GitHub profile.
  2. Professional Summary A 2-3 sentence overview showcasing your analytical expertise, technical tool knowledge, and business impact focus.
  3. Core Skills Essential skills you should highlight:

    • SQL and Database Management
    • Data Visualization (Tableau, Power BI)
    • Statistical Analysis (Python, R)
    • Business Intelligence Reporting
    • Problem-Solving and Critical Thinking
  4. Work Experience List experiences in reverse chronological order, focusing on business outcomes. For example:

    • “Developed automated dashboards reducing monthly reporting time by 40%.”
  5. Education Include your degree(s) — such as B.Sc. in Computer Science, Statistics, or related fields — and relevant certifications.
  6. Certifications and Projects (Optional) Add relevant certifications like Google Data Analytics Certificate, Microsoft Certified: Data Analyst Associate, or showcase independent data projects.

By using a Data Analyst Resume Sample as your blueprint, you can organize your information and present yourself as a results-driven professional.

Data Analyst Resume Sample for Different Career Stages

Your resume should evolve depending on your career level:

  • Entry-Level Data Analyst: Highlight technical coursework, capstone projects, internships, and academic achievements.
  • Mid-Level Data Analyst: Focus on business impact, cross-functional collaboration, and advanced technical proficiencies.
  • Senior Data Analyst: Showcase leadership in analytics strategy, mentoring junior analysts, and driving large-scale business decisions with data.

Tailoring your Data Analyst Resume to your level shows hiring managers that you’re a fit for the specific role they are hiring for.

Get Resume Writing Assistance from the Pros

Need extra help perfecting your Data Analyst Resume? ResumeGuru offers specialized Resume Writing Services to help you build a resume that is clear, concise, ATS-optimized, and tailored to your target job.

Our team ensures that your technical expertise, business value, and career story are presented in a way that gets recruiters’ attention and boosts your chances of landing interviews.

Achieve Career Success with ResumeGuru

The demand for skilled Data Analysts is growing — and so is the competition. With ResumeGuru, you’ll get:

  • Modern, customizable Data Analyst Resume Templates
  • Access to real-world Data Analyst Resume examples
  • Resume writing tips tailored to analytics and data science fields
  • Professional resume writing assistance to polish your profile

A great Data Analyst Resume doesn’t just list tools — it highlights how you solve business problems. ResumeGuru helps you turn your skills and projects into a compelling, interview-winning story.

Ready to Create Your Data Analyst Resume?

Stop stressing over formatting and content. Browse ResumeGuru’s Data Analyst Resume Samples, use our templates, and start applying with confidence today.

+91 991555 53497

All 22 templates on this resume

The same document as above, rendered by every template CareerOS ships. Pick one and the resume at the top of this page changes to it. A flagged template reads well to a human and parses less cleanly in an older ATS; the unflagged ones are single column, which is the safe default for an online application.

A professional reviewing their resume in CareerOS

Our Commitment

Your career data is yours. Full stop.

Export it or delete it any time. We never sell it, never train public models on it, and never show it to anyone. And the AI never writes a word about you that you didn't live.

The last move

Move your career in.

Five minutes to set up. Free for your data, forever. The last place your career will ever need to live.

No card to start Free AI review