Build an HR Data Analyst Resume That Proves Your Numbers
An HR data analyst resume example with people metrics, SQL and dashboard bullets, the keywords ATS filters catch, and a section-by-section guide.
Example HR Data Analyst summary
HR data analyst with six years turning HRIS extracts into people metrics leaders trust. Owns turnover, hiring funnel and pay equity reporting for a workforce of about 5,000, writes the SQL and dbt models behind every dashboard, and delivers the monthly executive pack in Tableau. Known for separating regretted from non-regretted attrition so retention work targets the exits that hurt.
Skills to list on a HR Data Analyst resume
- SQL
- Python for analysis
- Tableau
- Power BI
- Workday HCM
- SAP SuccessFactors
- Snowflake
- dbt
- People analytics
- Turnover and retention analysis
- Hiring funnel metrics
- Pay equity analysis
- Survey analysis
- Data visualization
- HR data governance
What actually gets this resume read
- Lead with the data stack: the HRIS, the warehouse, the query language and the visualization tool, in that order.
- Name the people metrics you own by their real names: regretted attrition, time to fill, quality of hire, internal mobility rate.
- Show one analysis that changed a decision, not just a dashboard you built and handed over to someone else.
- Mention how you handle sensitive fields, because employee data governance is what separates this role from general analytics.
- Quantify the reporting load you removed: hours of manual work, number of recurring reports, or requests closed per month.
- Keep tool names spelled the way postings spell them so the applicant tracking system matches Workday, SuccessFactors or Greenhouse.