Data Analyst Resume: Examples (2026)

A data analyst turns numbers a company already has into answers someone can act on: which stores are losing money, why customers cancel, which clinic has the longest wait. So a data analyst resume has to show two things at once. First, the tools, because postings are specific about them: SQL (the language used to pull data out of a database), Excel, and a reporting tool such as Power BI or Tableau. Second, and more important, the decisions your work changed. A dashboard nobody used is not an achievement; a report that moved a budget is.

This guide covers what to include, how to write analysis bullets that show impact, the skills and tools hiring managers look for, which certifications are worth adding (none are required), and a complete example for a retail analyst moving into healthcare. If you want to build the systems that feed the data rather than analyze it, see the data engineer resume example.

These skills show up most in data analyst postings. Use the ones you have, in the posting's words, and prove the main ones in your bullets.

Hard skills

• SQL: writing queries to pull, join and summarize data from databases
• Excel: pivot tables, lookups, Power Query and charts
• Dashboards and reports in Power BI, Tableau or Looker
• Data cleaning: finding and fixing duplicates, gaps and errors
• Basic statistics: averages, trends, correlation, significance
• A/B testing and before-and-after comparisons
• Python or R for analysis and automation
• Defining metrics (KPIs) with the business
• Forecasting sales, demand or staffing
• Data privacy basics, such as handling health or customer records

Soft skills

• Explaining findings to people who do not work with data
• Asking the right question before running any numbers
• Healthy skepticism about data that looks too good
• Writing short, clear summaries of results
• Working with finance, operations and marketing teams
• Managing several report requests at once

Tools and software

• SQL Server, PostgreSQL, MySQL, BigQuery or Snowflake
• Microsoft Power BI (with DAX formulas)
• Tableau
• Excel and Google Sheets
• Python (pandas) or R
• Jira or Asana for tracking report requests

Pick the one closest to you and change the details. Each covers the data you work with, your tools, a result and the role you want.

Entry-level data analyst

Recent statistics graduate who analyzed 5 years of city bike-share trips in SQL and Tableau for a capstone project that the city's transportation office used to plan 10 new stations. Skilled in Excel, SQL and Python, and completed the Google Data Analytics Professional Certificate. Seeking an entry-level data analyst role.

Experienced data analyst

Marketing data analyst with four years measuring email, paid search and social campaigns for an online retailer with a $30 million annual ad budget. Built the attribution dashboard leadership uses to split spend, and ran 40 A/B tests on the checkout flow. Seeking a senior analyst role in e-commerce.

Senior data analyst

Senior data analyst with eight years in health insurance, leading a team of three that reports on claims, costs and quality measures for 600,000 members. Created the monthly cost report used in contract talks with hospitals and set the team's data quality checks. Seeking an analytics manager position.

Each bullet names what you analyzed, how, and what happened next, with a number. Borrow the shape and use your own facts.

• Analyzed 18 months of support tickets in SQL and found 3 causes behind 40 percent of calls, leading to product fixes that cut ticket volume by 22 percent.
• Built a Tableau dashboard of daily sales by region used by 35 sales managers, replacing an emailed spreadsheet.
• Automated 8 monthly Excel reports with Power Query, saving about 20 hours of work a month.
• Ran an A/B test on the sign-up page with 50,000 visitors; the winning version raised completed sign-ups by 11 percent.
• Found $120,000 in duplicate vendor payments by matching 3 years of invoices against purchase orders.
• Built a demand forecast for 400 products that reduced out-of-stock days by 18 percent.
• Defined 12 standard metrics with finance and operations, ending conflicting numbers in leadership meetings.
• Cleaned a customer database of 250,000 records, removing 31,000 duplicates before a system migration.
• Presented quarterly findings to the executive team of 7, leading to a pricing change on 2 product lines.
• Answered about 25 ad hoc data requests a month from 5 departments, with a 2-day average turnaround.
• Trained 15 managers to use self-service Power BI reports, cutting simple report requests by half.

No license or certification is required to work as a data analyst. Employers mostly look at your tools, your results and often a short skills test. Certifications are optional, but they help career changers and new graduates show skills, and some postings name a specific one. These are the ones that come up in postings:

• Microsoft Certified: Power BI Data Analyst Associate from Microsoft, earned by passing exam PL-300 on preparing, modeling and visualizing data in Power BI. Microsoft lists a 12-month renewal, done through a free online assessment.
• Salesforce Certified Tableau Data Analyst from Salesforce, the company that owns Tableau: for analysts who build Tableau reports and dashboards.
• Google Data Analytics Professional Certificate from Google, offered on Coursera: a beginner program covering spreadsheets, SQL, Tableau and R, with no degree or experience required. Best for people starting out.

The example is for Camila, a data analyst at a grocery chain who wants to move into healthcare. Here is what each part does.

Headline: Data Analyst, SQL and Power BI. It names the job and the two tools most healthcare analyst postings list first.

Summary: three years, the kind of data (sales, inventory, staffing) and the size of the business (48 stores), then how she works, then her certification, her Spanish, and the field she wants.

Experience: her analyst job has four bullets, each with a result: $380,000 a year less spoiled produce, a dashboard 60 managers use weekly in place of 5 spreadsheets, 6 hours saved every Monday, and a coupon test across 12 stores that raised repeat visits by 9 percent. Her earlier reporting job gets one bullet about cutting errors from about 30 a month to 4, which shows care with messy data.

Project: the volunteer clinic analysis sits right after experience because it is the bridge to healthcare. It gives the data size (14,000 check-in records), the finding, and the result: waits down from 52 to 31 minutes.

Skills, certifications, education and languages: eight skills in posting language, the Power BI certification from 2025 and the Google certificate from 2022, her economics degree, and Spanish, which matters to a hospital serving many Spanish-speaking patients.

• Listing tools with no results. Proficient in SQL, Excel and Tableau is the same line on every analyst resume. Show what each tool helped you find or fix.
• Counting dashboards instead of their use. Built 25 dashboards is weaker than one dashboard that 60 managers open every week. Say who used it and what it replaced.
• Stopping at the finding. The finding is half the story. Add what the business did next and what it changed.
• Heavy statistics jargon. Terms like heteroscedasticity lose most readers. Describe the method in plain words and keep the technical names for the interview.
• Sharing confidential numbers. Do not paste real revenue or patient figures from an employer. Use rounded numbers, percentages or relative changes.
• A portfolio link that breaks. If you link a Tableau Public or GitHub page, check it opens and each project starts with the question it answers.

Other tech resume examples close to this one:

• Data engineer resume: for people who build the pipelines and databases analysts rely on.
• Business analyst resume: for analysts who focus on processes and requirements more than data.
• Product manager resume: a common next step for analysts who work closely with product teams.
• Career change resume: for people moving into data work from teaching, finance, retail or other fields.

Every example is in the resume examples hub, grouped by job and situation.