Data Analyst resume example
Data analyst resumes are often screened for tools first (SQL, Python, Excel, Power BI or Tableau), then for business impact. This data analyst resume example shows both: the stack and the decisions your analysis drove.
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Why this data analyst resume works
- Tools are named in the summary and skills.
- Bullets connect analysis to business results (8% more conversions).
- Automation saved time — a strong signal for analysts.
- A clean, academic design with real text for ATS.
Data Analyst resume summary examples
Your summary is the first thing people read. Keep it to 2–3 lines: who you are, your experience, and what you are best at.
Data analyst with 4 years of experience turning sales and customer data into clear dashboards and decisions. Strong in SQL, Python and Power BI, and good at explaining numbers to non-technical teams.
Entry-level data analyst with a statistics degree and projects in SQL, Python and Tableau, analysing public datasets on health and transport.
Business analyst with 5 years of experience in retail, turning sales data into weekly insights and forecasting models for leadership.
Skills to put on a data analyst resume
Add the ones you really have — and use the same words as the job advert.
- SQL
- Python (Pandas, NumPy)
- Excel (Pivot tables, VLOOKUP/XLOOKUP)
- Power BI
- Tableau
- Statistics
- Data cleaning
- Data visualisation
- A/B testing
- Forecasting
- Google BigQuery
- Storytelling with data
Data Analyst resume bullet points
Start with an action word and add a number to show the result. Copy these ideas and change them to match your own work:
- Built Power BI sales dashboards used daily by 50+ managers
- Found a checkout drop-off issue through funnel analysis that lifted conversions by 8%
- Automated weekly reports with Python and SQL, saving 10 hours a week
- Cleaned and analysed survey data from 20,000+ customers
- Built a churn model that identified 70% of at-risk customers
- Combined 5 data sources into one reporting database
- Presented monthly insights to the leadership team
- Saved 12 hours a week by automating Excel reports with Python
- Improved data accuracy from 85% to 99% with validation checks
Tips for your data analyst resume
- Put your tools in the summary — screeners look for SQL, Python and BI tools first.
- Every bullet should end with the business result of your analysis.
- Add a portfolio link (GitHub, Tableau Public) if you are starting out.
Applying for a specific job? In the builder, paste the job advert into the Job match checker. It shows which skills from the advert are missing from your resume.
