Data Analyst Resume Example & ATS Guide (2026)
Data Analyst resumes need to demonstrate analytical thinking, business impact, and technical proficiency with data tools. This example is optimized for both automated ATS screening and human review by hiring managers across fintech, e-commerce, and tech sectors.
Sample Technical Summary
Data analyst with 3 years transforming raw datasets into actionable business intelligence across e-commerce and SaaS environments. Proficient in SQL, Python, and Tableau. Known for reducing manual reporting overhead and surfacing insights that drive measurable revenue outcomes.
Key Recruiter Skills for Data Analyst
SQL (PostgreSQL, BigQuery, Snowflake)Python (pandas, NumPy, matplotlib, seaborn)Tableau, Power BI, LookerExcel, Google Sheets (advanced)A/B Testing, Statistical Analysisdbt, Airflow, SparkData Modeling, ETL PipelinesBusiness Intelligence, KPI Tracking
Quantified STAR Bullet Point Examples
- Designed SQL pipeline that automated weekly revenue reconciliation, saving 12 analyst-hours per week and eliminating 3 recurring reporting errors.
- Built Tableau dashboard tracking 8 key subscription KPIs, adopted by C-suite and reducing ad hoc report requests by 65%.
- Conducted A/B test analysis on pricing page redesign with 95% confidence, directly informing a change that increased conversion 9.4%.
- Modeled churn propensity using logistic regression (Python/scikit-learn), identifying 2,100 at-risk customers 30 days early for retention team.
- Reduced monthly ETL pipeline failures by 87% by rewriting legacy stored procedures into dbt models with automated testing.