Data Analyst resume example

Data analyst resumes should read like a log of decisions your reports actually changed — a budget reallocated, a campaign cut, a process shortened — not just a list of dashboards built. Recruiters scan for SQL fluency first, then the visualization tool named in the posting.

Quantify the reporting itself too: hours saved by automating a manual report, or the number of stakeholders who now rely on a dashboard you built, both signal real organizational impact.

Brandon Lee

Data Analyst

Columbus, OH brandon.lee@email.com +1 (614) 555-0143 linkedin.com/in/brandonlee

Summary

Data analyst with 4 years building SQL-driven reporting for retail and marketing teams. Automated a weekly ad-spend report that cut reporting time from 5 hours to 20 minutes and caught a $40K overspend within the first month.

Experience

Data Analyst

Fieldstone Retail Group · Columbus, OH

Jun 2023 — Present

Built a Tableau dashboard automating weekly ad-spend reporting across 6 channels, cutting reporting time from 5 hours to 20 minutes.
Wrote a SQL query flagging a $40K overspend in a paid-search campaign within its first month live, prompting an immediate budget freeze.
Ran a pricing A/B test across 3 product categories, providing the data behind a 6% margin improvement rollout.

Junior Data Analyst

Marrow & Co. · Columbus, OH

Aug 2021 — May 2023

Migrated 12 manual Excel reports to Power BI, saving the operations team an estimated 15 hours per week.
Analyzed customer segmentation data across 200K records, informing a loyalty-program redesign that raised repeat purchases 8%.
Cleaned and validated inventory data feeding into a demand-forecasting model, reducing stockout incidents 21%.

Skills

SQL · Excel · Tableau · Power BI · Python · Google Sheets · ETL · KPI Reporting · Statistical Analysis

Education

Ohio State University

B.S. Business Analytics

2017 — 2021

Data Analyst · Slate Professional template · single-column, ATS-safe.

ATS keywords for a Data Analyst resume

Applicant tracking systems match your resume against the job description's vocabulary. Mirror the terms below that are true of you — ideally with a metric attached.

SQLExcelTableauPower BIGoogle SheetsData VisualizationKPI ReportingETLPythonA/B TestingDashboardingLookerStatistical Analysis

What recruiters look for

SQL proficiency demonstrated with a specific query complexity or database size, not just listed as a skill.
The exact BI tool from the posting (Tableau, Power BI, Looker) named and tied to a dashboard outcome.
A decision or action that resulted directly from an analysis — not just 'created reports'.
Time saved through automation (manual reporting replaced by scheduled dashboards or scripts).
Cross-functional stakeholder exposure — finance, marketing, ops — showing the analyst translates data broadly.

Before & after: one bullet

Weak

Created reports and dashboards for the marketing team.

Strong

Built a Tableau dashboard automating weekly ad-spend reporting across 6 channels, cutting reporting time from 5 hours to 20 minutes and flagging a $40K overspend.

Common mistakes to avoid

Listing 'proficient in Excel' with no example of what the spreadsheet work actually solved.
No SQL example given, even though it's the top filter recruiters apply to analyst resumes.
Dashboards described by feature count instead of the decision or savings they enabled.
Mixing up data analyst duties with data engineering (pipeline building) when the role is reporting-focused.