Data Analyst hiring is competitive — recruiters want clear evidence you turn data into decisions. Your resume should pair technical skills (SQL, Python, Tableau, Power BI) with concrete outcomes: questions answered, decisions influenced, revenue protected, or hours saved through automation.
2-3 sentences: years of experience, industries, your strongest tools, and the kind of decisions you've influenced.
Group skills by Languages, BI Tools, Data Stack, and Statistical Methods — recruiters scan in this order.
% improvement, $ saved, hours automated, decisions influenced — every bullet should answer "so what?"
A GitHub, Notion, or personal site with 2-3 case studies dramatically boosts interview rate.
Data Analyst | SQL · Python · Tableau · Business Intelligence
Denver, CO 80202 · (512) 555-0147 · [email protected] · jordanrivera
Detail-oriented Data Analyst with 2 years of experience transforming raw data into actionable business insights. Proficient in SQL, Python, and Tableau. Built dashboards and automated reporting pipelines that saved 15+ hours per week across marketing and operations teams at Zillow.
Built Tableau dashboards tracking $8M annual ad spend across 12 channels, enabling real-time budget reallocation that improved ROAS by 22%.
Automated weekly KPI reporting with Python and Airflow, reducing manual effort from 10 hours to 45 minutes.
Conducted cohort analysis on 2M+ user records to identify churn drivers, informing a retention campaign that reduced churn by 9%.
Cleaned and analysed 500K+ rows of census data using R and Python for a labour economics study published in a peer-reviewed journal.
Created regression models to estimate the impact of remote work on housing prices across 50 metro areas.
SQL · Python · R
Tableau · Looker · Power BI
Airflow · dbt · BigQuery · Snowflake
Regression · A/B Testing · Cohort Analysis · Forecasting
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