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Data analyst resume example

Hiring managers for analyst roles want to know two things: can you get the data yourself, and did anyone change a decision because of your work? The strongest analyst resumes pair the tool (SQL, Python, Tableau) with the decision it informed, in the same bullet.

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The example resume

Priya Nair's data analyst resume, typeset in the Classic template

Typeset by the AI-Resume engine in the Classic template. Every person, company and number in this example is fictional.

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Priya Nair
Data Analyst
priya.nair@example.com · (617) 555-0172 · Boston, MA · linkedin.com/in/priyanair
Summary

Data analyst with five years turning messy operational data into decisions in healthcare and e-commerce. Writes production SQL, builds the dashboards leadership plans from, and designs the A/B tests behind product changes.

Experience
Marlowe HealthMar 2023 – Present
Data AnalystBoston, MA
  • Built Tableau dashboards on Snowflake that 40 clinic managers used weekly to plan staffing, reducing overtime hours by 18%.
  • Wrote the SQL and dbt models behind a claims-denial analysis that recovered $2.1M in underpaid claims.
  • Led A/B testing of appointment reminders, raising show-up rates from 81% to 88%.
Oakbridge RetailJun 2021 – Feb 2023
Associate Data AnalystProvidence, RI
  • Automated weekly sales reporting in Python and pandas, saving the merchandising team 12 hours a week.
  • Modeled customer churn in Python, identifying a segment that became the target of a retention campaign worth $640K.
  • Presented findings to the executive team every quarter, translating cohort analysis into pricing recommendations.
Oakbridge RetailJun 2020 – May 2021
Business Intelligence InternProvidence, RI
  • Rebuilt 15 Excel reports as a single Looker dashboard, cutting report preparation from two days to an hour.
Skills

Analysis: SQL, Python, pandas, A/B testing, Statistics

Tools: Tableau, Looker, Snowflake, dbt, Excel

Education
Northeastern University2016 – 2020
B.S. Economics and Mathematics

Why this data analyst resume works

The summary

Data analyst with five years turning messy operational data into decisions in healthcare and e-commerce. Writes production SQL, builds the dashboards leadership plans from, and designs the A/B tests behind product changes.

Two sentences: who she is and in which industries, then three verbs that cover the job — writes SQL, builds dashboards, designs tests. No adjectives about herself at all.

Bullets, before and after

The same work, described first the way most resumes do it, then the way this one does.

Before

Created dashboards for clinic managers.

After

Built Tableau dashboards on Snowflake that 40 clinic managers used weekly to plan staffing, reducing overtime hours by 18%.

Who used it, how often, and what changed — the dashboard is the means, not the result.

Before

Did analysis on claims data using SQL.

After

Wrote the SQL and dbt models behind a claims-denial analysis that recovered $2.1M in underpaid claims.

Puts a dollar figure on analysis, the hardest kind of work to quantify.

Before

Ran experiments on reminders.

After

Led A/B testing of appointment reminders, raising show-up rates from 81% to 88%.

Uses the posting’s exact phrase, “A/B tests”, and reports the result as a before-and-after rate.

Skills recruiters search for

List the ones you could be interviewed on — and show the most important in a bullet, where they count for about twice as much.

Querying and code
  • SQL
  • Python
  • pandas
  • R
BI and warehousing
  • Tableau
  • Looker
  • Power BI
  • Snowflake
  • BigQuery
  • dbt
Methods
  • A/B testing
  • Statistics
  • Cohort analysis
  • Forecasting
Business
  • Stakeholder management
  • Data visualization
  • Presenting to executives

Questions

What should a data analyst put on a resume with no experience?

Projects with real data and a real question: what you asked, the tools you used, and what you found. A public dashboard or notebook link helps more than a list of courses.

Should I list Excel on a data analyst resume?

Yes, if the posting mentions it — many do. Put it after SQL and Python, and show it in a bullet if it mattered.

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