Priya Shah
Data analyst with 4 years of experience in retail and e-commerce analytics. Builds SQL pipelines and Tableau dashboards that leadership uses weekly, and identified pricing changes that added $1.4M in annual revenue.
- Built 15 Tableau dashboards tracking sales, margin and inventory for 120 stores
- Identified pricing changes that added $1.4M in annual revenue
- Automated weekly reporting with SQL and Python, saving 12 hours per week
- Designed and analyzed 10+ A/B tests for the online checkout
- Cleaned and merged shipment data from 3 systems into a single reporting table
- Built an Excel model forecasting monthly volume within 5% accuracy
- Presented KPI trends to operations managers every month
SQL • Tableau • Power BI • Python (pandas) • Excel (pivot tables • Power Query) • A/B testing • Statistics • Data modeling • Stakeholder communication
Data Analyst resume summary examples
Pick the summary closest to your level and rewrite it with your own years, tools and best result. Keep it to two or three sentences.
Data Analyst resume bullet points
Strong bullets start with an action verb and end with a result. Replace the numbers with your real ones — never add results you did not achieve.
- Built Tableau dashboards used weekly by 40+ managers to track sales and margin
- Wrote complex SQL queries joining 10+ tables to answer business questions
- Automated recurring reports with Python, saving 12 hours per week
- Identified pricing opportunities that added $1.4M in annual revenue
- Designed and analyzed A/B tests that lifted checkout conversion by 6%
- Cleaned and validated large datasets, reducing reporting errors by 30%
- Defined KPI definitions with stakeholders and documented a metrics glossary
- Forecast demand using historical data with 95% accuracy
- Presented findings to executives in clear visual summaries
- Trained business users on self-service dashboards
Top skills for a data analyst resume
Hard skills
Soft skills
ATS keywords for data analyst resumes
These terms appear often in data analyst job descriptions. Use the ones that truthfully describe your experience, in the same words the posting uses. To see exactly which keywords your resume is missing for a specific job, try the job description matcher.
How to write a data analyst resume
1. Quantify the decision, not just the dashboard
Say what your analysis changed: revenue, cost, time saved or a decision made. "Identified $1.4M pricing opportunity" beats "Built reports".
2. Name your tools exactly
ATS systems search for exact terms like SQL, Tableau or Power BI. Use the same spelling as the job post, and only list tools you have actually used.
3. Show a portfolio
Link a GitHub or Tableau Public profile with 2–3 projects. For entry-level roles, a strong project can replace work experience.
4. Group skills clearly
Split skills into tools, techniques and domains so a recruiter can scan them in seconds.
5. Keep the layout simple
Use one column and standard headings like Experience, Education and Skills so parsers read everything correctly.
New to resumes? Read our full guide on how to write a resume or browse ATS-friendly resume templates.
Frequently asked questions
What should a data analyst resume include?
Contact details, a short summary, experience with measurable results, technical skills (SQL, Excel, BI tools, Python or R), education and relevant certifications or projects.
How do I write a data analyst resume with no experience?
Lead with 2–3 projects on real or public datasets, describing the question, tools and findings. Add relevant coursework, certificates and any role where you worked with numbers.
Is the Google Data Analytics certificate worth listing?
Yes, especially for entry-level roles. List it under Certifications with the year, and back it up with projects.
Should I include soft skills?
Include a few, but show them in bullets — for example, presenting findings to executives demonstrates communication.