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Data Analyst Resume Example: SQL, Dashboards, Metrics, and Impact

Build a data analyst resume that connects SQL, dashboards, and analysis to clearer business decisions.

A data analyst resume should show how you turn messy information into decisions people trust. Tools matter, but the strongest resumes explain the question, the dataset, the insight, and what changed because of your work.

Resume example you can adapt

Professional summary example

Data Analyst with 4+ years using SQL, Python, Tableau, and Looker to improve revenue, retention, and operations reporting. Built executive dashboards, automated recurring analysis, and partnered with product and finance teams to define metrics that teams actually use.

Work experience bullet examples

  • Automated weekly revenue reporting in SQL and Python, saving 9 hours per week for the finance team.
  • Built a churn dashboard that helped customer success identify 420 at-risk accounts and improve renewal focus.
  • Redefined activation metrics with product managers, increasing experiment readout speed from 10 days to 3 days.
  • Cleaned duplicated CRM data and improved campaign attribution accuracy from 71% to 92%.

Skills to include

  • SQL, Python, spreadsheets, data cleaning
  • Tableau, Looker, Power BI, dashboard design
  • A/B testing, cohort analysis, funnel analysis, attribution
  • Stakeholder management, metric definition, executive reporting

How to tailor it for the job

  1. 1.

    Use the company vocabulary: revenue, risk, supply, product, growth, or operations.

  2. 2.

    Put SQL near the top if the job description repeats it.

  3. 3.

    Replace vague dashboards with the decision the dashboard supported.

Mistakes that weaken this resume

  • Saying "created dashboards" without naming the metric or audience.
  • Listing tools without proving analysis judgment.
  • Forgetting data quality, documentation, and stakeholder communication.

Final checklist

  1. The first third of the resume makes the target role obvious.
  2. Every recent job has at least one measurable result.
  3. Keywords are copied naturally from the job description.
  4. The resume is exported as a clean PDF and checked for ATS readability.