Data Analyst Resume Examples
Entry to Senior
Data Analyst Resume Example
Emphasize business questions answered, decision support, and repeatable analytics assets (dashboards, models, definitions). Show SQL fluency and stakeholder impact.
Structure
- Summary: domain, toolset (SQL, Python/R), data sizes
- Technical Skills: SQL (window functions), dbt, ETL/ELT, BI tools
- Experience: analyses that changed decisions or moved KPIs
- Projects: reproducible notebooks/dashboards
- Education/Certs: relevant degrees, Google DA, etc.
Impact Bullets
- Built churn prediction with logistic regression (AUC 0.82), enabling β11% churn via targeted campaigns.
- Standardized revenue attribution definitions across 5 teams; discrepancies β90%.
- Migrated 20 legacy SQL reports to dbt models; refresh time β67%.
ATS Keywords
SQL, dbt, Snowflake/BigQuery/Redshift, ETL/ELT, Airflow, Python, Pandas, R, Tableau, Power BI, Looker, Cohort Analysis, A/B Testing, Experimentation, KPI, Forecasting, Dashboards, Data Modeling, Dimensional Modeling.
Sample Summary
Data Analyst skilled in SQL/dbt and BI (Looker, Tableau), turning complex datasets into decisions. Delivered churn model (AUC 0.82) and standardized revenue metrics across 5 teams.
One-Page Template (HTML)
<h1>Priya Singh</h1>
<p>Remote β’ priya@analytics.dev β’ linkedin.com/in/priyasingh β’ github.com/priyads</p>
<h2>Summary</h2>
<p>Data Analyst (SQL/dbt, Tableau) focusing on revenue and retention analytics.</p>
<h2>Skills</h2>
<p>SQL (CTEs, windows), dbt, BigQuery, Python (Pandas), Tableau, A/B Testing</p>
<h2>Experience</h2>
<h3>Shoply β Data Analyst (2023βPresent)</h3>
<ul>
<li>Churn model (AUC 0.82) drove β11% churn via lifecycle campaigns.</li>
<li>Revenue definitions standardized; discrepancies β90%.</li>
</ul>
Common Mistakes
- βBuilt dashboardsβ without stating who used them or what changed.
- Only tool lists; no business outcomes.
- No reproducibility (notebooks/SQL omitted).
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