Data Analyst Resume Example
Data analyst resumes need to prove you can turn raw data into decisions. Show the tools you use, the questions you answered, and the business impact of your analysis. Hiring managers want analysts who communicate findings clearly, not just run queries.
Sample resume
This is an AI-assisted example. Use it as a starting point, not a copy-paste template. Your resume should reflect your actual experience and numbers.
Priya Sharma
Chicago, IL | priya.sharma@email.com | (555) 345-6789 | linkedin.com/in/priyasharma
Summary
Data analyst with 4 years of experience turning messy data into clear recommendations. Built dashboards used by C-suite executives at a 500-person company. Comfortable writing complex SQL, building models in Python, and presenting findings to non-technical stakeholders.
Experience
Data Analyst II, Grubhub
Chicago, IL | May 2022 - Present
- Built a driver supply forecasting model in Python (scikit-learn) that improved prediction accuracy by 28%, reducing over-staffing costs by $320K/year
- Created 12 Tableau dashboards tracking order volume, delivery time, and customer satisfaction, used weekly by VP-level leadership
- Analyzed A/B test results for 5 pricing experiments, identifying a tiered pricing structure that increased average order value by $2.40
- Wrote and optimized 50+ SQL queries against a 10M+ row PostgreSQL database
Junior Data Analyst, Allstate
Chicago, IL | Jun 2020 - Apr 2022
- Automated monthly reporting in Python (pandas), cutting report generation time from 3 days to 2 hours
- Performed cohort analysis on policyholder retention, identifying 3 key churn drivers that informed a retention campaign saving $1.1M
- Migrated 8 legacy Excel reports to Tableau, improving data freshness from weekly to real-time
Education
B.S. Statistics, University of Illinois at Urbana-Champaign
2016 - 2020 | GPA: 3.6
Certifications
- Tableau Desktop Specialist (2021)
- Google Data Analytics Professional Certificate (2020)
Skills
Languages: SQL, Python, R Tools: Tableau, Power BI, Excel, Google Analytics, Looker, dbt Methods: Regression Analysis, Cohort Analysis, A/B Testing, Time Series Forecasting
Key skills for data analyst resumes
These are the skills that show up most often in data analyst job descriptions. Include the ones you actually have experience with.
ATS tips for data analyst resumes
- •List every tool and language you are proficient in. ATS systems for data roles match heavily on tool names.
- •Quantify the datasets you worked with: '2M+ row dataset' or 'data from 50K daily active users' gives context.
- •Mention specific types of analysis: regression, cohort analysis, time series, funnel analysis.
- •Include business context. 'Built a churn model' is okay. 'Built a churn model that identified 300 at-risk accounts worth $450K ARR' is much better.
- •If you have certifications (Google Analytics, Tableau Desktop Specialist), include them. They are common ATS filters.
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