Data analyst resume example
A complete resume for an analyst with four years in retail and insurance, plus summaries, bullet points and skills you can reuse.
What hiring managers look for
Hiring managers want to see that you can find the right data, get it clean and turn it into a decision. A strong data analyst resume names the tools you used and the size of the data, and above all says what the business did with your work.
This example shows an analyst with four years in retail and insurance. Every bullet pairs a tool with a result, the skills list mirrors common job postings and a short certification section backs up the experience. Analysts in marketing, finance or healthcare can keep the structure and change the examples.
Data analyst resume summary examples
Mid-level, 4 years
Data analyst with 4 years of experience in retail and insurance. Builds SQL pipelines and Tableau dashboards that 60+ managers use every week, and turns A/B test results into clear recommendations. Recent work found $1.2M a year in margin lost to stacked discounts.
Entry level
Recent economics graduate with hands-on SQL, Excel and Tableau experience from two internships. Built a dashboard that tracks donor retention for a nonprofit with 30,000 donors. Eager to turn messy data into reports people actually use.
Marketing analytics
Data analyst with 5 years in marketing analytics. Owns attribution reporting for a $20M ad budget and helped move 15% of spend to channels with twice the return. Fluent in SQL, Python and Looker.
Career change
Former high school math teacher moving into data analytics, with the Google Data Analytics Certificate and three portfolio projects in SQL and Tableau. Brings six years of explaining numbers to people who don't love them.
Data analyst resume bullet points
Strong bullets start with what you did and end with what changed. Borrow the pattern, then use your own numbers.
- Combined web, CRM and billing data in Snowflake into one customer table used by 4 teams.
- Cut the monthly close report from 3 days to 4 hours by automating it with Python and scheduled dbt models.
- Built a Power BI dashboard on delivery times that helped operations reduce late shipments by 18%.
- Ran a cohort analysis showing annual-plan customers stayed 2.4x longer, which shaped the new pricing page.
- Defined 12 core KPIs with product and finance, ending conflicting numbers in leadership meetings.
- Forecast weekly demand for 900 products with a time-series model, reducing stockouts by 22%.
- Trained 25 managers to build their own reports in Looker, cutting one-off data requests by 40%.
- Audited website tracking and fixed 30 broken events, restoring accurate funnel data.
Skills for a data analyst resume
Skills job postings ask for
- SQL
- Excel (pivot tables, XLOOKUP)
- Tableau, Power BI or Looker
- Python or R
- Data cleaning
- A/B testing
- Statistics
- Data modeling
- dbt
- Snowflake or BigQuery
Skills to show in your bullets
- Data storytelling
- Working with stakeholders
- Attention to detail
- Business sense
- Clear writing
List the skills a posting names in its own words, and only the ones you can talk about in an interview. Qualities like these read best as results in your bullets, not as a list.
Tips for writing a data analyst resume
- 1
Say what the analysis changed
A dashboard is a tool, not a result. Write what happened because of it: money saved, a decision made, a process sped up.
- 2
Name your tools precisely
Postings list specific tools, like SQL, Tableau or Power BI. Use the same names so a recruiter and a tracking system can match them.
- 3
Show the size of the data
Rows, sources and the number of people using your reports show the scale you work at, and set real work apart from coursework.
- 4
Link a portfolio if you're new
Early in your career, two or three projects on public data with a short write-up prove your skills better than a list of courses.
Make it yours
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