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Data analyst resume example

A data analyst resume is judged on tools and outcomes: which languages and BI platforms you use, and what decisions your analysis changed. This example pairs every tool with a result.

Opens in the builder with the Modern template

Skills to include

Hard skills

  • SQL
  • Python (pandas) or R
  • Tableau or Power BI
  • Excel (pivot tables, XLOOKUP)
  • A/B testing and statistics
  • dbt or data modelling

Soft skills

  • Explaining numbers to non-analysts
  • Curiosity
  • Documentation
  • Prioritising requests
  • Healthy scepticism about data quality

How to write it

  1. Name the decision, not just the dashboard: what changed because of your analysis?
  2. List SQL dialects and cloud warehouses by name (BigQuery, Snowflake, Redshift); job ads do.
  3. A linked project with real data is worth more than a certificate for entry-level roles.

Example bullet points

  • Built a Tableau dashboard tracking no-show rates across 22 clinics, used weekly by regional managers
  • Found that text reminders sent 48 hours ahead cut no-shows by 18%; the change was rolled out to all clinics
  • Rewrote 40+ legacy SQL reports into dbt models, cutting refresh time from 3 hours to 25 minutes
  • Defined a shared metrics glossary adopted by finance and operations
  • Automated a weekly sales report in Python, saving the team 6 hours a week
  • Ran A/B test analysis on email campaigns, identifying a subject line format that lifted opens by 11%

In the builder, the "Sharpen these bullets" button rewrites your own lines in this style without inventing facts.

Questions

Should a data analyst resume have a projects section?

Yes if you have under 2 years of analyst experience. One or two projects with public data, a link and a one-line finding show exactly the skills the job needs.

How technical should the bullets be?

Name the tool and the outcome in the same bullet. Hiring managers are often not analysts themselves, so lead with the result and put the method second.

Priya Raman

Data Analyst

priya.raman@email.com(555) 402-7715Austin, TXgithub.com/priyaraman

Summary

Data analyst with 3 years turning messy operational data into dashboards and recommendations that teams act on. Strong in SQL, Python (pandas) and Tableau, with a habit of documenting every metric definition.

Experience

Data Analyst, Lonestar Health Partners

Aug 2023 – Present

Austin, TX

  • Built a Tableau dashboard tracking no-show rates across 22 clinics, used weekly by regional managers
  • Found that text reminders sent 48 hours ahead cut no-shows by 18%; the change was rolled out to all clinics
  • Rewrote 40+ legacy SQL reports into dbt models, cutting refresh time from 3 hours to 25 minutes
  • Defined a shared metrics glossary adopted by finance and operations

Junior Analyst, Bluebonnet Retail Group

Jun 2022 – Jul 2023

Austin, TX

  • Automated a weekly sales report in Python, saving the team 6 hours a week
  • Ran A/B test analysis on email campaigns, identifying a subject line format that lifted opens by 11%
  • Cleaned and merged 3 years of point-of-sale data for a store-closure review

Education

B.S. Statistics, University of Texas at Austin

2022

Coursework: regression, experimental design · Austin, TX

Skills

SQL (PostgreSQL, BigQuery), Python (pandas, NumPy), Tableau, Power BI, dbt, Excel, A/B testing, Regression, Data cleaning, Stakeholder reporting

Projects

  • NYC taxi fare analysis: cleaned 12M rows and modelled tip drivers (GitHub)

Priya Raman is a fictional example. ATS readiness of this sample: 90/100.

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