Data Analyst Resume
Turn data into decisions
Create a data analyst resume that demonstrates your ability to extract insights, build dashboards, and drive data-informed decisions.
Experience Levels
Key Skills for Data Analysts
SQL & Databases
Complex queries, joins, window functions, optimization
Python/R
Pandas, NumPy, data manipulation, statistical analysis
Data Visualization
Tableau, Power BI, Looker, matplotlib, charts
Excel & Spreadsheets
Pivot tables, VLOOKUP, macros, data modeling
Statistical Analysis
Hypothesis testing, regression, A/B testing
Business Acumen
KPIs, metrics definition, stakeholder communication
ATS Keywords for Data Analyst Resumes
Include these keywords in your resume to pass ATS screening systems and catch the attention of hiring managers:
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Sample Resume Bullets: Before & After
Transform generic job descriptions into compelling achievement statements:
Created reports for the team
Built automated dashboards in Tableau tracking 15 KPIs, reducing manual reporting time by 20 hours/week
Analyzed data to find insights
Identified $500K revenue leakage through customer churn analysis, leading to retention program that saved 200+ accounts
Worked with SQL databases
Optimized critical SQL queries reducing report generation time from 4 hours to 15 minutes
Made visualizations
Designed executive dashboard adopted by C-suite for weekly business reviews, improving decision-making speed by 40%
Resume Tips for Data Analysts
List your tools
Create a dedicated section for SQL, Python, Tableau, Excel, and other analytics tools
Quantify everything
Include data volumes, time savings, and business impact of your analyses
Show business impact
Connect your analysis to decisions made and outcomes achieved
Include portfolio links
Link to Tableau Public dashboards or GitHub repositories with analysis projects
Frequently Asked Questions
What technical skills should be on a data analyst resume?
Essential: SQL, Excel, one visualization tool (Tableau/Power BI). Valuable: Python/R, statistics, cloud platforms. List them prominently.
How do I stand out as an entry-level data analyst?
Include personal projects, Kaggle competitions, or volunteer analytics work. Certifications (Google Data Analytics, Tableau) also help.
Should I include my SQL proficiency level?
Rather than self-rating, demonstrate proficiency through accomplishments: complex joins, window functions, query optimization.
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