# Data analyst resume example (2026) with keywords

Canonical: https://resumark.app/resume-examples/data-analyst/

Updated 18 October 2026

**Short answer:** A data analyst resume should prove three things fast: you can query and clean data (SQL, Python or R, Excel), you can show it clearly (Tableau, Power BI), and your analysis changed a decision. Name the tools exactly as the job post does, and give every bullet a business result, not just a dashboard.

## Data analyst resume sample

![Sample data analyst resume for fictional candidate Maya Chen, Data Analyst, in the Modern template, showing summary, experience at Northwind Logistics, skills and education](https://resumark.app/img/examples/data-analyst.webp)

*Modern template. The person, employers and contact details are fictional.*

**Maya Chen**  
Data Analyst  
maya.chen@example.com · (312) 555-0187 · Chicago, IL · mayachen.example.com

### Summary

Data analyst with 4 years turning messy operational data into dashboards and decisions. Strong in SQL, Python and Tableau, and known for clear write-ups that non-technical managers act on.

### Experience

**Data Analyst**, Northwind Logistics, Chicago, IL · Jan 2023 – Present

- Built a Tableau delivery-performance dashboard used weekly by 30 regional managers, replacing 5 manual Excel reports
- Wrote SQL models in Snowflake and dbt for on-time delivery metrics, cutting monthly report prep from 2 days to 2 hours
- Analyzed late-delivery drivers in Python (pandas); a route change based on the findings cut late deliveries 9% in two regions
- Designed and read out an A/B test of delivery-window emails with the marketing team

**Junior Data Analyst**, Lakeside Retail Group, Chicago, IL · Jun 2021 – Dec 2022

- Automated weekly sales reporting with Python and SQL Server, saving the finance team about 6 hours a week
- Cleaned and merged point-of-sale and inventory data for 48 stores to support a markdown analysis
- Answered ad hoc data requests from merchandising, tracked and prioritized in Jira

### Skills

SQL, Python (pandas), Excel (pivot tables, XLOOKUP), Tableau, Power BI, Snowflake, dbt, A/B testing, Data cleaning, Data visualization, Statistics, Stakeholder communication

### Education

**BS Economics**, Lakeshore State University · 2021. Minor in Statistics

### Certifications

- Google Data Analytics Certificate, Google (2021)

## What recruiters scan for in a data analyst resume

- The core tools by name. SQL first, then Excel, a BI tool (Tableau, Power BI, Looker) and often Python or R. If the post asks for SQL and your resume never says it, many screeners stop there.
- Business context. Which decisions your analysis fed: pricing, inventory, churn, marketing spend. Domain words from the post, such as supply chain or claims, help too.
- Outcomes, not artifacts. A dashboard is an output; hours saved, costs cut or a decision changed is the outcome.
- Communication. Analysts are hired to explain. Presenting findings, writing summaries and working with non-technical teams all count.

## Top 25 data analyst resume keywords

These are the terms that come up again and again in data analyst job posts. Use the ones you genuinely have, spelled the way the post spells them.

| Group | Keywords |
|---|---|
| Hard skills (10) | Data analysis, Data cleaning, Data visualization, Statistical analysis, A/B testing, Data modeling, ETL, KPI reporting, Forecasting, Dashboard design |
| Tools (10) | SQL, Excel, Python, pandas, R, Tableau, Power BI, Looker, Snowflake, Google Analytics |
| Soft skills (5) | Stakeholder communication, Data storytelling, Problem solving, Attention to detail, Business acumen |

See [how to find the right keywords in a job post](https://resumark.app/blog/resume-keywords/), or use the [free ATS keyword checker](https://resumark.app/ats-resume-checker/).

## Data analyst resume summary examples

### Junior

Entry-level data analyst with a BS in economics and the Google Data Analytics certificate. Built SQL and Tableau projects on public transit and retail data, and automated a weekly Excel report during a finance internship.

### Mid-level

Data analyst with 4 years in logistics and retail analytics. Writes production SQL in Snowflake and dbt, builds Tableau dashboards managers use weekly, and turns findings into clear recommendations.

### Senior

Senior data analyst with 8 years leading analytics for ecommerce and operations teams. Sets metric definitions, designs experiments with product teams, and mentors analysts on SQL and storytelling.

## Data analyst resume bullet examples

Start with a strong verb, name the tool or method, and end with a result. Swap in your own numbers.

1. Built a Power BI sales dashboard for 12 regional managers, replacing 5 manual Excel reports
2. Wrote SQL models in dbt that cut monthly reporting prep from 2 days to 2 hours
3. Analyzed 18 months of churn data in Python and identified 3 at-risk customer segments for the retention team
4. Designed an A/B test of checkout copy; the winning variant raised conversion 4% and was rolled out site-wide
5. Cleaned and merged 3 years of point-of-sale and inventory data across 48 stores for a markdown study
6. Built a demand forecast in Excel and Python that reduced stockouts on top-selling items
7. Agreed 14 KPI definitions with finance and operations, ending conflicting numbers in leadership meetings
8. Automated a weekly operations report with Python and SQL Server, saving 6 hours a week
9. Presented quarterly findings to the VP of operations, leading to a route change in two regions
10. Documented data sources and query logic in Confluence so new analysts could ship work in their first week

### Before and after

| Before | After |
|---|---|
| Created dashboards in Tableau. | Built a Tableau delivery dashboard used weekly by 30 regional managers, replacing 5 manual Excel reports. |
| Responsible for data analysis. | Analyzed late-delivery causes in Python (pandas); a route change based on the findings cut late deliveries 9% in two regions. |
| Used SQL to pull data. | Wrote SQL models in Snowflake and dbt for on-time delivery metrics, cutting monthly report prep from 2 days to 2 hours. |
| Worked with stakeholders. | Met weekly with merchandising leads to scope data requests and turned around 90% of them within 2 business days. |

## How to write the skills section

- Put SQL first, then the BI tool and language the post names. Order signals strength.
- Name specific features when the post does: window functions, Power Query, DAX, pandas. They match search terms in technical posts.
- Add statistical methods (regression, A/B testing, forecasting) only if a bullet backs them up.

## Common data analyst resume mistakes

- Listing every tool from a course syllabus. Keep the ones you have used on real data.
- Bullets that end at the artifact: built a dashboard, wrote a query. Add who used it and what changed.
- Leaving out data size and source. Rows, tables, systems or number of stores make the work concrete.
- Hiding portfolio projects. For entry-level analysts, a projects section linking to Tableau Public or GitHub often carries the resume.

**Check your resume against a real data analyst job post.** Paste a data analyst job post and your resume into Resumark to get a 0–100 match score, the keywords you are missing, and a tailored rewrite that never adds skills you do not have.

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## Related guides

- [Product manager resume example](https://resumark.app/resume-examples/product-manager/)
- [Accountant resume example](https://resumark.app/resume-examples/accountant/)
- [How to tailor your resume to a job description](https://resumark.app/blog/tailor-resume-to-job-description/)
- [How to find resume keywords in a job post](https://resumark.app/blog/resume-keywords/)
- [Free ATS-friendly resume templates](https://resumark.app/templates/)
- [Free ATS resume keyword checker](https://resumark.app/ats-resume-checker/)

## Frequently asked questions

### What should a data analyst put on a resume with no experience?

Lead with a projects section: two or three analyses of real public datasets, each naming the tools (SQL, Excel, Tableau) and the question you answered. Add relevant coursework or a certificate, and any job where you worked with numbers, even in retail or operations.

### Is Python required for a data analyst resume?

Not always. Many analyst roles need SQL, Excel and a BI tool, with Python or R listed as preferred. Check the post: if Python is a requirement, show it in a bullet; if it is a nice-to-have, list it only if you can use it.

### Which certifications help a data analyst resume?

The Google Data Analytics certificate and Microsoft Power BI Data Analyst (PL-300) are common at entry level, and Tableau certifications help for Tableau-heavy roles. They support a resume but do not replace evidence of real analysis.