Data analyst resume example and template for Google Docs™
A data analyst with three years in e-commerce, applying for senior analyst roles. The bullets mix analysis, reporting and the work of keeping data reliable.
- Parser read 30/30 fields
- 1 page
- US Letter
- Google Docs and Word
- Compact layout
What a parser reads from it
Field by field, from the PDF that Google Docs exports.
30/30
fields read correctly from the resume (US Letter), downloaded from Google Docs as a PDF and read by the open-source OpenResume parser (commit 4f8255a) on Oct 3, 2026.
What the parser read
First 30 lines, exactly as extracted.
Nathan Kim Denver, CO | (720) 555-0115 | nathan.kim@example.com | linkedin.com/in/nathankim | github.com/nathankim SUMMARY Data analyst with three years in e-commerce, working mostly in SQL, dbt and Looker. I like turning a messy question from marketing or operations into one clear chart and a recommendation. EXPERIENCE Talus & Tern Outdoor Supply Denver, CO Data Analyst Apr 2023 – Present • Built the Looker dashboard for weekly sales and returns that 40 managers use; it replaced six emailed spreadsheets • Found through a cohort analysis that free-shipping customers returned 2x more often; the threshold change saved $380K a year • Moved 25 reporting queries into dbt models with tests, cutting broken-report tickets from about 10 a month to 2 • Designed the A/B test readout template the marketing team now uses for every email and site test Larkmead Credit Union Boulder, CO Junior Data Analyst Jul 2021 – Mar 2023 • Wrote SQL and Excel reports on loan applications for the lending team and automated three of them in Python • Cleaned five years of member data before a core system migration and documented every field mapping • Answered ad hoc questions from branch managers, usually the same day PROJECTS Colorado Trail Usage | Python, BigQuery, Streamlit 2024 • Public dashboard of trailhead counts from state open data; featured in a local outdoor newsletter EDUCATION Cottonhollow University Fort Collins, CO Bachelor of Science in Statistics May 2021 SKILLS Languages: SQL, Python (pandas), R Tools: Looker, Tableau, dbt, Snowflake, BigQuery, Excel Methods: A/B testing, cohort analysis, forecasting Certifications: dbt Analytics Engineering, Tableau Desktop Specialist
Field by field
What we wrote, and what the parser put in each field.
| Field | Parser read | Match |
|---|---|---|
| Name | Nathan Kim | |
| nathan.kim@example.com | ||
| Phone | (720) 555-0115 | |
| Location | Denver, CO | |
| Link | linkedin.com/in/nathankim | |
| Summary | Data analyst with three years in e-commerce, working mostly in SQL, dbt and Looker. I like turning a messy question from marketing or operations into one clear chart and a recommendation. | |
| Job 1 company | Talus & Tern Outdoor Supply | |
| Job 1 title | Data Analyst | |
| Job 1 dates | Apr 2023 – Present | |
| Job 1, bullet 1 | Built the Looker dashboard for weekly sales and returns that 40 managers use; it replaced six emailed spreadsheets | |
| Job 1, bullet 2 | Found through a cohort analysis that free-shipping customers returned 2x more often; the threshold change saved $380K a year | |
| Job 1, bullet 3 | Moved 25 reporting queries into dbt models with tests, cutting broken-report tickets from about 10 a month to 2 | |
| Job 1, bullet 4 | Designed the A/B test readout template the marketing team now uses for every email and site test | |
| Job 2 company | Larkmead Credit Union | |
| Job 2 title | Junior Data Analyst | |
| Job 2 dates | Jul 2021 – Mar 2023 | |
| Job 2, bullet 1 | Wrote SQL and Excel reports on loan applications for the lending team and automated three of them in Python | |
| Job 2, bullet 2 | Cleaned five years of member data before a core system migration and documented every field mapping | |
| Job 2, bullet 3 | Answered ad hoc questions from branch managers, usually the same day | |
| School 1 | Cottonhollow University | |
| School 1 degree | Bachelor of Science in Statistics | |
| School 1 dates | May 2021 | |
| School 1 GPA | (empty) | |
| Project 1 | Colorado Trail Usage | Python, BigQuery, Streamlit | |
| Project 1 dates | 2024 | |
| Project 1, bullet 1 | Public dashboard of trailhead counts from state open data; featured in a local outdoor newsletter | |
| Skills line 1 | Languages: SQL, Python (pandas), R | |
| Skills line 2 | Tools: Looker, Tableau, dbt, Snowflake, BigQuery, Excel | |
| Skills line 3 | Methods: A/B testing, cohort analysis, forecasting | |
| Skills line 4 | Certifications: dbt Analytics Engineering, Tableau Desktop Specialist |
Shown but not counted
- github.com/nathankim: parser keeps one URL. It's in the extracted text.
- Denver, CO: no location field for jobs. It's in the extracted text.
- Boulder, CO: no location field for jobs. It's in the extracted text.
- Fort Collins, CO: no location field for schools. It's in the extracted text.
This checks our sample text, read by one open-source parser from the PDF that Google Docs' File > Download > PDF produces. It isn't a score, and it doesn't tell you how Workday, Greenhouse or any other hiring system will read your own resume. Anyone can rerun it: the test repository has the PDF (SHA-256 3f4872f914b4…), the expected values and the raw results. How we test
About this example
Nathan's strongest bullets name the question, the tool and what the business did with the answer; the rest show the reporting and data quality work that fills much of an analyst's week. A public project shows he works end to end on his own. The tools he uses daily are listed by exact name, since recruiters search for them.
How to write a data analyst resume
Question, method, decision
Analysts collect data, build reports and dashboards, and explain what they mean. A strong bullet says what the business did with your answer.
Name the stack
SQL, Python, dbt, Looker, Tableau, Snowflake: recruiters search for these exact words. Put them in skills and in the bullets.
Show reliability work
Tests, documentation and fewer broken reports matter to teams who've been burned by bad data.
Add a public project if you're switching in
A small dashboard built on public data shows you can do the work end to end.
Cover letter lines for a data analyst role
An opening and a closing written for the person in this example. Swap in your own numbers and the role you're applying for. Every template comes with a matching cover letter for the middle.
I'm applying for the Senior Data Analyst role on your growth team. At Talus & Tern Outdoor Supply, a cohort analysis I ran showed free-shipping customers returned twice as often, and the threshold change that followed saved $380K a year.
I'd be glad to walk you through that analysis and the dashboards I maintain. Thank you for your time.
Common mistakes on data analyst resumes
- Tools without outcomes. "Used SQL and Tableau" is a skills line, not a bullet. Say what the analysis found.
- Charts and logos on the resume. Keep visuals in your portfolio or GitHub. Many parsers can't read charts or logos, and the ones that try can garble the lines around them.
- Overstating the data science. If you ran a regression, say so. Don't call it machine learning unless it was.
Templates that suit data analyst resumes
Blank versions with a cover letter and references page, in Letter and A4.
Compact
36/36 fields readHalf-inch margins and tight spacing for people with more experience than one page normally holds.
- 1 page
- Letter + A4
- Docs + Word
Jake's
46/46 fields readThe Jake's Resume layout rebuilt for Google Docs and Word. Dense, centered, made for tech internships and new-grad roles.
- 1 page
- Letter + A4
- Docs + Word
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The writing advice draws on the tasks and tools listed for Business Intelligence Analysts (O*NET-SOC 15-2051.01) in the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration, used under the CC BY 4.0 license. We rewrote it as resume advice. The person, employers and schools in the example are fictional, and the example is written as of fall 2026, so dates and years of experience count to then.