Data Analyst Resume Template
Data analyst resumes must demonstrate both technical proficiency with tools like SQL, Python, and Tableau, and the business impact of your analytical work.
Key Sections for a Data Analyst Resume
Technical Skills
Highlight SQL, Python/R, Excel (advanced), Tableau/Power BI, statistical methods, and any cloud data tools (BigQuery, Redshift). Group by category for clarity.
Work Experience
Focus on insights delivered, decisions influenced, and business outcomes. Quantify with metrics: revenue impact, cost savings, efficiency gains, or accuracy improvements.
Projects & Analysis
Include portfolio projects showing end-to-end analysis: data collection, cleaning, analysis, visualization, and actionable recommendations.
Education & Certifications
List your degree and relevant certifications: Google Data Analytics, IBM Data Science, Tableau Desktop Specialist, or SQL certifications.
Sample Bullet Points
Use these as inspiration for your own resume. Replace the details with your actual experience and metrics.
- Built automated dashboards in Tableau tracking 15 KPIs across sales, marketing, and operations, reducing manual reporting time by 80%
- Analyzed customer churn patterns using Python and SQL, identifying 3 key risk factors that informed a retention strategy reducing churn by 18%
- Developed a demand forecasting model using time-series analysis, improving inventory planning accuracy by 25% and reducing stockout events by 30%
- Cleaned and transformed 2M+ row datasets using pandas and SQL, establishing standardized ETL pipelines for the analytics team
Tips for Your Data Analyst Resume
- Include a link to your portfolio, Kaggle profile, or GitHub with analysis notebooks
- Mention specific tools and versions (e.g., Tableau Desktop, Power BI Pro, Python 3.x)
- Quantify the business impact of your analyses, not just the technical process
- If transitioning into data analytics, highlight transferable quantitative skills from your current role
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