Resume example
Data Analyst resume example
A strong Data Analyst resume shows the business impact of your work, not just the tools you used. Use this example and guide to write bullets that prove you turned data into decisions.
Naomi Brooks
Data Analyst
Seattle, WA · [email protected] · (206) 555-0142
Summary
Data Analyst with 5 years of experience turning messy datasets into clear recommendations. Skilled in SQL, Python, and Tableau. Built reporting that cut manual work and surfaced revenue opportunities across marketing and operations teams.
Experience
Data Analyst · Brightline Retail
2021 - Present- Built 12 automated Tableau dashboards that replaced weekly manual reports and saved the team about 15 hours per week.
- Identified a pricing gap through cohort analysis that increased monthly revenue by $42,000 within one quarter.
- Cleaned and joined data from 6 source systems in SQL, reducing reporting errors by 31%.
- Partnered with marketing to A/B test 3 campaigns, lifting email click-through rate from 2.1% to 3.4%.
Junior Data Analyst · Northgate Logistics
2019 - 2021- Wrote SQL queries to track delivery performance across 8 regions, cutting late shipments by 18%.
- Created a Python script that automated daily data pulls, reducing prep time from 2 hours to 10 minutes.
- Presented findings to operations leads in monthly reviews attended by 20+ stakeholders.
Education
B.S. in Statistics, University of Texas at Austin
2015 - 2019- Minor in Economics
- Capstone project on forecasting retail demand using regression models
Skills
What makes a strong data analyst resume
Quantified impact
Each bullet ties an action to a number, such as $42,000 in added revenue or a 31% drop in errors. Hiring managers scan for results, so lead with the outcome and name the metric.
Tools paired with purpose
The resume names SQL, Python, and Tableau, but always connects them to a task. It shows what the tools accomplished, not just that they appear on a list.
Clear progression
Moving from Junior Data Analyst to Data Analyst signals growth. The bullets get more strategic over time, from automating pulls to influencing pricing decisions.
Key skills to include
Common mistakes to avoid
- Listing tools without showing what you built or solved with them.
- Writing vague bullets like 'analyzed data' with no metric, dataset size, or result.
- Burying the summary under a long objective statement that says little about your value.
- Ignoring stakeholder communication, which matters as much as technical skill for an analyst.
Questions
Do I need a degree to be a data analyst?
A degree in statistics, math, economics, or a related field helps, but it is not required. Many analysts break in with strong SQL and Python skills, a portfolio of real projects, and clear evidence of business impact.
Should I include a portfolio link?
Yes. A link to a GitHub repo, a Tableau Public profile, or a personal site with case studies gives recruiters proof of your skills. Add it to the contact line or summary.
How many bullets should each job have?
Aim for 3 to 5 bullets per role, with the most recent job getting the most detail. Prioritize bullets with numbers and trim duties that do not show results.
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