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Data Analyst Resume Examples

A data analyst resume example with summaries for junior, mid and senior analysts, the SQL, Python and BI skills postings ask for, and bullets with results.

What has to be at the top

A data analyst resume should lead with the tools you query and report with (SQL first, then Python or R, then a BI tool such as Tableau or Power BI) and the business area whose data you know. Each bullet then names the question someone asked, the analysis, and the decision or number that changed because of it, since a dashboard on its own proves only that you can build one.

The full example

A complete data analyst resume example

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Why this example works

  • SQL, Python and Tableau appear in the summary and again in the bullets where they were used, so both a recruiter's keyword search and an analytics manager's skim find them.
  • Each bullet ends in a business outcome rather than an output: ad spend cut, hours saved, money recovered. The model or dashboard is the method, not the result.
  • Scale is stated once where it means something, a 40-million-row claims table and a warehouse 60 analysts use, instead of being repeated on every line.
  • The Power BI certification covers the second BI tool. The work history shows Tableau, and postings often name Power BI instead, so the certificate answers that question before it is asked.

The data analyst resume example as text

The same content as the sheet above, readable without zooming, so you can copy any line.

Hannah Kowalski
Data Analyst, Marketing and Growth

Minneapolis, MNhannah.kowalski@email.com(555) 019-6612

Summary

Data analyst with six years in insurance and e-commerce analytics, working daily in SQL, Python and Tableau. Built the attribution model the marketing team now uses to split a $6M annual ad budget, and moved weekly reporting from spreadsheets to dashboards.

Experience
Data Analyst — Northfield OutfittersMay 2022 – Present
  • Built a multi-touch attribution model in SQL and Python; paid social spend fell 15% with no drop in orders.
  • Replaced 11 weekly Excel reports with three Tableau dashboards, saving the team about 12 hours a week.
  • Design and read out 20+ A/B tests a year on checkout and email; one checkout change lifted conversion 4%.
Junior Data Analyst — Clearwater Insurance GroupAug 2020 – Apr 2022
  • Wrote SQL checks on a 40-million-row claims table to flag duplicate claims, recovering $220,000 in a year.
  • Cleaned and documented 30 source tables in the reporting warehouse used by 60 analysts.
Education
Bachelor of Science in Statistics, University of MinnesotaSep 2016 – May 2020
Licenses and certifications
  • Microsoft Certified: Power BI Data Analyst Associate, Microsoft, Renewed 2026-02
Skills

SQL (PostgreSQL, Snowflake), Python (pandas), Tableau, Power BI, dbt, A/B testing, Excel, Google Analytics 4

Illustrative. Not a real person and not a real employer.

Summaries

Data Analyst resume summary examples by experience level

The summary is the part of a resume that changes most as a career goes on. The same job at three stages, and what each stage leads with.

  • Entry-level analyst or career changer

    Economics graduate (BA, University of Wisconsin, 2026) with the Google Data Analytics Professional Certificate and three SQL and Python portfolio projects, including an analysis of 2 million bike-share trips that found which stations run out of bikes each morning. Excel and Tableau from a campus research assistant job.

    Projects carry the experience section: for each one, the data set, the tools and the finding, stated as a number.

  • Data analyst

    Data analyst with three years in healthcare operations, writing SQL against scheduling data and building Power BI dashboards for 14 clinic managers. Traced 22% of no-shows to a single reminder template, and the fix freed about 300 appointment slots a month.

    Name the domain as well as the tools. A hiring manager in healthcare or finance wants someone who already knows how their data behaves.

  • Senior analyst or analytics lead

    Senior data analyst with eight years in subscription businesses, leading a four-person analytics team and owning the company's churn and pricing metrics. Built the churn model behind a retention program credited with $1.8M in saved annual revenue, and set up the dbt metric definitions finance and product both report from.

    The reader now looks for decisions your work drove, the people you lead, and the metrics you are the owner of.

Skills

Skills for a data analyst resume

Put SQL first, with the database or warehouse you used it on, then the BI tool and the language the posting asks for. Statistics methods are better shown in a bullet, such as a test you designed and what it decided, than listed one by one.

Hard skills

Querying and programming

  • SQL
  • Python (pandas, NumPy)
  • R

Visualization and BI

  • Tableau
  • Power BI
  • Looker
  • Excel (pivot tables, Power Query)

Analysis

  • A/B testing
  • Regression analysis
  • Data cleaning
  • Forecasting

Data platforms

  • Snowflake
  • BigQuery
  • dbt

Soft skills

  • Explaining findings to non-technical teams
  • Business curiosity
  • Stakeholder management
  • Attention to detail
  • Prioritizing requests
  • Storytelling with data

Name two or three of these in the skills section at most. They count for more when a bullet shows one at work.

Bullet points

Data Analyst resume bullet points, before and after

Five lines as people first write them, and the same lines rewritten so the result comes last, where the eye lands. The numbers are illustrative; use your own.

  • Created dashboards for the sales team.

    Built an hourly-refreshed Tableau pipeline dashboard from Salesforce data for 35 sales reps; managers dropped the Monday spreadsheet meeting and forecast accuracy rose from 71% to 86%.

  • Analyzed customer data.

    Segmented 250,000 customers by purchase frequency in SQL and Python; the win-back email to the lapsed-buyer segment brought in $410,000 in its first quarter.

  • Wrote SQL queries.

    Rewrote the 20 slowest reporting queries in Snowflake as incremental models, cutting the nightly refresh from 3 hours to 25 minutes and compute costs by $2,300 a month.

  • Ran A/B tests.

    Designed and analyzed 14 pricing-page experiments with the product team, including sample-size calculations; the two winners that shipped raised trial sign-ups by 9%.

  • Cleaned data.

    Wrote validation checks for 18 source tables feeding the finance reports, which caught a currency-conversion error that had overstated EMEA revenue by $1.1M.

Starting every bullet with the same verb? Synonyms for overused resume words →

These bullets are waiting in the editor

When you write your experience in our CV builder, pick "Example phrases" under a job and add the data analyst bullets from this page in one click. Every number is left as [X], so the figures on your CV are your own.

Beyond experience

Data analyst certifications

No license is needed to work as a data analyst. A certification helps most at entry level and when a posting names a specific tool; after a few years in the job, your projects and results do that work.

  • Google Data Analytics Professional Certificate

    A nine-course program designed by Google and taken on Coursera, with no degree or experience required. It covers spreadsheets, SQL, Tableau and Python and ends with a case study you can show employers; Coursera puts it at six months at ten hours a week. Keep it on the page until you have a year or two as an analyst.

    Issued by Google, on Coursera

  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)

    Earned by passing exam PL-300, which covers preparing, modeling and visualizing data and managing and securing Power BI, including Power Query and DAX. It must be renewed every 12 months through a free online assessment on Microsoft Learn, so list it only while it is current.

    Issued by Microsoft

  • Salesforce Certified Tableau Data Analyst

    Tableau's analyst certification, now issued under the Salesforce name. Use that exact title when a posting asks for Tableau, and check the current exam details on Trailhead before you book.

    Issued by Salesforce (Tableau)

  • Portfolio projects

    A certificate shows you finished a course; a portfolio shows how you work. Two or three analyses, each with the question, the data, the SQL or notebook and the finding, give an interviewer something concrete to ask about.

How to list certifications on a resume →

Template

Which template to use for a data analyst resume

ATS Pro. Data analyst applications go through online forms, but the person who reads them afterwards spends the day in visual reports. ATS Pro keeps every word in one reading column for the applicant system and adds skill tags that put SQL, Python and Tableau where they are seen at once. If the form asks for plain text, or you want the one layout that downloads free without a watermark, use Basic.

What makes a template ATS-friendly →See all templates filled in →

Data Analyst resume questions

What should I include in my resume as a data analyst?

A summary with your tools and domain, a skills section grouped into querying, BI and analysis, jobs whose bullets end in a business result, education, and certifications if they cover a tool the posting names. New analysts add a projects section with two or three analyses and a link to the code.

What are the top 3 skills for a data analyst?

SQL, a BI tool such as Tableau or Power BI, and the ability to turn a loose business question into an analysis and explain the answer. Python or R comes next for most roles. On a resume the third skill shows up in bullets that end with a decision someone made.

How do I write an entry-level data analyst resume?

Put projects where the experience section would be, each with the data set, the tools and the finding. Add a certificate if you have one, any job where you worked with numbers such as inventory, scheduling or research, and your degree. The entry-level summary above shows how to open.

Should I put a GitHub link on a data analyst resume?

Yes, if it holds analyses a hiring manager can follow: a README with the question and the answer, readable SQL or notebooks, and charts. A profile full of course exercises does not help, so pin two or three projects of your own and link to those.

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