Data Analyst — Resume Example & ATS Keywords

Analyst resumes should connect tools to decisions: what you analyzed, with what stack (SQL, Python, Power BI), and what the business did differently because of it.

Professional summary example

Data analyst with 4 years turning operational data into decisions for commercial teams. Built the churn model that redirected a retention budget and lifted renewal rate 9 points. Fluent in SQL and Python, with dashboards in Power BI used weekly by a 40-person department.

Example bullet points

• Built SQL + Power BI dashboards tracking 20 KPIs for commercial leadership, replacing 3 weekly manual reports.
• Analyzed churn cohorts in Python (pandas) and identified two at-risk segments; targeted campaigns cut churn 12%.
• Automated a monthly reconciliation pipeline (SQL, Airflow), saving 30 analyst-hours per month.
• Designed A/B test measurement for pricing changes that informed a rollout worth +6% average order value.
• Partnered with finance to build a driver-based forecast model within 3% accuracy across four quarters.

Writing tips for this role

1. Name the stack precisely: SQL, Python, pandas, Power BI, Tableau, Excel — literal ATS matches.
2. Every bullet needs a decision or outcome, not just "created reports".
3. Quantify data scale where impressive (rows, sources, refresh cadence).
4. Link to a portfolio or public dashboards if you have them.

ATS keywords to include

Common questions