Data Analyst Resume Example (2026)
By FindAJobAI team Updated How we built this page
Data analyst job ads tend to ask for the same core: SQL, one BI tool, Excel, and the ability to explain what the numbers mean. What separates candidates is evidence that their analysis changed something. A data analyst resume should say who used your dashboards and what they decided.
The example below is a data analyst with four years at a regional bank and an online home goods retailer. Notice how each bullet names the tool, the question and the business result, instead of counting reports built.
Data Analyst resume template
This example as a one-page template: one column, standard headings and plain text, the format applicant tracking systems read most reliably.
After you sign up, Create my CV builds your own resume in this same one-column layout, from your real experience.
Mid-level data analyst resume example
A complete one-page example for a fictional data analyst: every bullet pairs an action with what changed because of it.
Example resume · fictional person
Summary
Data analyst with 4 years of experience in e-commerce and banking, working mainly in SQL, Tableau, Power BI and Excel. Built the weekly revenue dashboards used by 35 managers, and an abandonment analysis that lifted completed orders by 7%. Known for clear metric definitions and plain-language findings.
Experience
Data Analyst, Oakhaven Home Goods
Columbus, OH · Jan 2023 – Present
- Wrote the SQL and built the Tableau dashboards behind the weekly revenue review, used by 35 managers across sales, marketing and operations.
- Analyzed 14 months of checkout data and traced 40% of cart abandonment to surprise shipping costs; the fix lifted completed orders by 7%.
- Replaced 9 manual Excel reports with automated Power BI reports refreshed daily, saving the finance team 12 hours a week.
- Agreed 25 core metric definitions with marketing and finance, so every dashboard counts an active customer the same way.
Junior Data Analyst, Riverbend Community Bank
Columbus, OH · Jun 2021 – Dec 2022
- Built Excel and SQL models tracking loan application drop-off at 4 branches, which led to a shorter online form.
- Cleaned and merged 3 customer databases into one table of 180,000 members, removing 12,000 duplicates.
- Produced monthly KPI reports for the executive team in Power BI and PowerPoint.
Skills
- Analysis: SQL (joins, window functions, CTEs), Excel (pivot tables, XLOOKUP, Power Query), Python (pandas)
- Visualization: Tableau, Power BI, Looker Studio
- Data: Snowflake, PostgreSQL, Google Analytics 4, dbt (basic)
- Business: KPI definition, A/B test analysis, stakeholder reporting
Certifications
- Google Data Analytics Certificate, 2021
Education
- B.S. Business Analytics, Ohio State University, 2021
Fictional example by the FindAJobAI team: the person, employers and numbers are invented. Keep the structure; use your own work and numbers you can explain in an interview.
Entry-level data analyst resume example
A recent statistics graduate with one internship and a campus reporting job. Education sits right under the summary, and two projects on public data stand in for the experience she doesn't have yet, each ending in an answer rather than a chart count.
Entry-level example resume · fictional person
Jasmine Ortiz
Data Analyst
Cleveland, OH · [email protected] · (216) 555-0142 · LinkedIn · Portfolio · GitHub
Summary
Entry-level data analyst with a B.S. in Statistics and a semester-long internship analyzing member data at a credit union. Writes SQL with joins and window functions, builds Tableau dashboards and explains findings in plain English. Looking for a first full-time analyst role in retail or financial services.
Education
- B.S. Statistics, minor in Economics, Cleveland State University, 2026
Experience
Data Analytics Intern, Lakefront Federal Credit Union
Cleveland, OH · Jan 2026 – May 2026
- Queried 2 years of transactions for 48,000 members in SQL to find which products new members open first, used to reorder the welcome email.
- Built a Tableau dashboard of branch traffic by hour that 6 branch managers now use to plan teller schedules.
- Flagged 1,900 member records with mismatched addresses and wrote the cleanup rule the IT team adopted.
Student Reporting Assistant, Cleveland State University, Office of Admissions
Cleveland, OH · Sep 2023 – Dec 2025
- Refreshed 5 weekly Excel reports on applications and campus visits, cutting prep time from 3 hours to 1 with pivot tables and XLOOKUP.
- Joined visit sign-ups to application data and showed that campus visitors applied at twice the rate of non-visitors.
Skills
- Analysis: SQL (PostgreSQL, BigQuery), Excel (pivot tables, XLOOKUP), Python (pandas), R (basic)
- Visualization: Tableau, Looker Studio, Power BI (coursework)
- Statistics: Regression, hypothesis testing, sampling and survey weighting
Certifications
- Google Data Analytics Certificate, 2025
Projects
- County library usage (SQL, Tableau): analyzed 3 years of checkout data to show which 4 branches lost evening visitors after a change in opening hours.
- Grocery price tracker (Python, pandas): collected 6 months of public price data for 40 staples and charted which categories rose fastest.
Senior data analyst resume example
A lead analyst eleven years in, now managing analysts. The bullets move from building reports to setting standards, retiring work nobody used and funding decisions, and the summary names the team and the money the analysis steers.
Senior example resume · fictional person
Summary
Lead data analyst with 11 years in retail, subscription and insurance analytics, managing 4 analysts and the reporting layer used by 300 employees. Built the self-serve Looker model that retired 140 legacy reports, and leads the analysis behind pricing and promotion decisions worth $20M a year.
Experience
Lead Data Analyst, Copperfield Outfitters
Chicago, IL · Mar 2021 – Present
- Lead a team of 4 analysts supporting merchandising, marketing and 85 stores, agreeing priorities with 6 department heads every quarter.
- Built a governed Looker model on Snowflake and dbt with 60 certified metrics, retiring 140 legacy reports and halving ad hoc requests.
- Designed the promotion-effectiveness analysis that ended 3 discount programs with negative margin, saving $2.6M a year.
- Set up peer review for SQL and dashboards with a style guide, cutting reported data errors from 12 to 2 a quarter.
Senior Data Analyst, Bluestem Meal Co.
Chicago, IL · Jun 2017 – Feb 2021
- Owned retention reporting for 400,000 subscribers and built the cohort model finance used for its annual plan.
- Analyzed 25 pricing and onboarding A/B tests with the product team, including one that raised first-month retention by 4 points.
- Automated the weekly executive KPI pack with SQL and Tableau, replacing a 2-day spreadsheet process.
Data Analyst, Prairie State Mutual
Springfield, IL · Jul 2014 – May 2017
- Modeled claims frequency by region in SQL and Excel, input to rate filings in 3 states.
- Trained 20 underwriters on self-serve Tableau reports, cutting report requests by a third.
Skills
- Analysis: SQL (Snowflake, BigQuery), Python (pandas, statsmodels), Excel, experiment analysis
- BI and modeling: Looker (LookML), Tableau, dbt, semantic layers, data dictionaries
- Leadership: Hiring and coaching analysts, analytics roadmaps, stakeholder prioritization
Education
- B.S. Economics, University of Illinois Urbana-Champaign, 2014
How to write a data analyst resume
Five steps, in the order a recruiter reads the page. The format around them stays plain for every job: one column, standard headings, newest role first.
Header: name, target title and links
Use the title “Data Analyst” even if yours was Reporting Specialist or Insights Associate, and add a portfolio or GitHub link as a plain URL. Recruiters search the standard title, and a hiring manager will open one good project.
Summary: what you do and your best proof
Name your SQL level, your BI tool and the kind of business you analyze, then one result: a decision your analysis changed. Skip lines like “passionate about data”; they fit every applicant.
Experience: newest first, a result in every bullet
Open each bullet with the question or the audience, then the tool and the result: who used the dashboard, what the analysis found and what changed. Counting reports built says little; one finding that moved revenue says a lot.
Skills: grouped, in the ad's words
Group them into query languages, BI tools, spreadsheets and statistics. Put the warehouse you queried next to SQL, and leave out tools you only touched in a course unless the ad asks for them.
Education and certifications
List your degree with the year, plus a certificate such as Google Data Analytics or Microsoft PL-300 if you hold one. Without analyst experience, add a Projects section with two analyses on public data, each stating its question and its answer.
Skills to put on a data analyst resume
Hard skills are the tools and methods of the job; soft skills are how you work with people. Each comes with one way to prove it, because a skill named only in a list counts for little. Add the ones you really have.
Hard skills
- SQL
- Name the database or warehouse you queried and show a join, window function or cohort query in a bullet.
- Excel
- Write the features you rely on (pivot tables, Power Query, XLOOKUP) next to a report they sped up.
- Tableau
- Say who opens your dashboard, how often, and one decision it changed.
- Power BI
- Mention DAX measures or Power Query steps you wrote and the manual report they replaced.
- Python (pandas)
- Point to cleaning or automation you did with it, with the row count or the hours saved.
- Statistics
- Name the test or model you ran, such as a t-test or regression, and the question it settled.
- A/B test analysis
- Give the change tested, the metric you read and whether the winner shipped.
- Data cleaning
- Count the records you fixed or deduplicated and say what the clean data made possible.
- Dashboard design
- Describe a dashboard you simplified, with its audience and its load time or usage before and after.
- KPI definition
- Show a metric you defined with other teams and how many reports now use that definition.
- Google Analytics 4
- Tie it to a funnel or campaign question you answered from web data.
- dbt
- If the ad lists it, mention the models or tests you wrote, even a handful, and what they fed.
Soft skills
- Data storytelling
- Write one bullet where a finding led to a decision, naming who made the decision.
- Stakeholder management
- Show a metric or priority you agreed across teams, with the number of teams involved.
- Curiosity
- Describe a question nobody asked you to answer and what the answer turned up.
- Attention to detail
- Mention an error you caught before it reached a report, with its size.
- Business sense
- Translate a result into revenue, cost or customers instead of stopping at the chart.
- Prioritization
- Give your monthly request volume and how you decided what came first.
- Teaching
- Count the colleagues you trained to answer their own questions in a self-serve tool.
What employers ask for in data analyst job ads
The skills named most often in the 496 newest data analyst job ads we track (out of 1,425 live postings), as the share of ads that mention each:
- 1SQL74%
- 2Python58%
- 3Power BI45%
- 4Tableau42%
- 5Excel34%
- 6Data quality33%
- 7Statistics33%
- 8Data visualization31%
Add only the ones you really have, in Skills and in a bullet that shows how you used them. The full list is on the Data Analyst resume keywords page.
From live job ads · computed November 2, 2026 · refreshed daily
Data Analyst resume bullet examples: weak vs strong
The same work, written two ways. The strong version names the tool, the scope and a result; the numbers are examples, yours must be real.
Weak: Created dashboards.
Strong: Built a Power BI dashboard of store-level margins that regional managers check daily; it flagged 3 underperforming product lines in its first month.
Who uses it, how often, and what it surfaced.
Weak: Wrote SQL queries.
Strong: Wrote a SQL cohort analysis with window functions showing that customers acquired through referrals spend 25% more in their first year.
SQL skill shown through an analysis and its finding.
Weak: Analyzed data to find trends.
Strong: Found that late-night orders had double the return rate, which led to a packing-shift change that cut returns by 9%.
A specific insight with the action and result.
Weak: Proficient in Excel.
Strong: Rebuilt the budget-tracking workbook with Power Query and XLOOKUP, cutting the monthly close report from 2 days to 3 hours.
Turns a skill claim into time saved.
Weak: Worked with stakeholders.
Strong: Ran sessions with 6 department heads to agree one definition of churn, used in every report since.
Shows influence on how the business measures itself.
Weak: Cleaned data.
Strong: Automated deduplication of 200,000 customer records in Python, raising email match rates for campaigns from 71% to 94%.
Data cleaning measured by what it made possible.
15 more data analyst resume bullet examples
Grouped by area of the job, so you can find the ones closest to your work. Keep the shape (action, scope, result) and replace the invented numbers with your own.
Dashboards and reporting
- Built a Power BI sales dashboard with row-level security for 22 regional managers, replacing 22 spreadsheets emailed every Monday.
- Cut a Tableau workbook's load time from 40 to 6 seconds by moving calculations into a SQL view and adding extract filters.
- Retired 30 unused reports after reviewing 6 months of usage logs, freeing about 10 hours a week of upkeep.
- Created a one-page KPI scorecard for the leadership team with targets, trends and an owner per metric, reviewed every Monday.
Analysis that changed a decision
- Matched 3 years of store sales to local weather data and showed rainy days cut foot traffic by a fifth, which changed staffing plans for wet days.
- Compared prices on 1,200 products with 2 competitors and found 85 priced too low, adding $310K in annual margin after the update.
- Read a free-shipping threshold test across 90,000 orders and recommended $49 over $35, which raised average order value by $6.
- Segmented 60,000 loyalty members by purchase frequency in SQL, giving marketing 4 audiences whose emails drew twice the clicks.
Data quality and automation
- Wrote Python scripts that load spend from 4 ad platforms into one table each morning, ending 5 hours of weekly copy-paste.
- Added row-count and null checks to 15 scheduled queries, catching 7 broken source loads before managers saw wrong numbers.
- Documented 120 fields in a shared data dictionary, so new analysts stopped asking which revenue column to use.
- Rebuilt the monthly inventory report in SQL and dbt, turning a 2-day manual task into a 15-minute scheduled run.
Working with the business
- Moved 40 ad hoc requests a month into an intake form with priority tags, answering 9 in 10 within 3 working days.
- Presented quarterly findings to 50 store managers in plain language, with one recommended action per finding.
- Trained 25 marketing staff to filter and export their own Looker reports, cutting simple requests to the team by 40%.
Data Analyst resume summary examples
Two or three lines on what you do and your strongest proof. Start from the one closest to your level and use your own facts.
Data analyst with a business analytics degree and the Google Data Analytics Certificate. Built a SQL and Tableau project on 5 years of city bike-share data, and supported reporting as an intern at a regional bank. Strong in SQL and Excel.
Data analyst with 4 years in healthcare operations, working in SQL, Power BI and Python. Built the patient-flow dashboards used by 12 clinic managers and an analysis that cut average wait times by 11 minutes.
Senior data analyst with 9 years of experience leading analytics for a subscription business's marketing team. Owns the attribution reporting behind a $15M annual budget and mentors 3 analysts in SQL, statistics and storytelling.
Common data analyst resume mistakes
Each one is easy to make and quick to fix before you apply.
Tools with no analysis attached
SQL, Tableau and Python in Skills say what you can use; the bullets must say what you found with them. Pair each tool with a question it answered.
Counting dashboards instead of decisions
“Built 40 dashboards” invites the question of who used them. Name the audience and one decision a dashboard changed.
No business context
Say what the company sells and which team you supported. Retail, banking and SaaS analysts track different metrics, and hiring managers look for theirs.
Hiding how deep your SQL goes
“SQL” on its own hides whether you can join ten tables or tune a slow query. Mention window functions, CTEs or query tuning in a bullet when you have used them.
A portfolio of course exercises
Tutorial datasets show you finished a course. One original analysis with a clear question and a stated answer shows how you think.
ATS tips for a data analyst resume
Applicant tracking systems turn your file into text that recruiters search, mostly for the skills and titles in the ad. They rarely reject a resume on their own; one that parses badly or misses the ad's words just doesn't come up.
- Name the BI tool you used (Tableau, Power BI, Looker); analyst ads usually ask for one by name.
- Show SQL in bullets with what you analyzed, not only in the Skills section.
- Describe dashboards by who used them, how often and what they changed, not by how many you built.
- Mention Excel features that show depth (pivot tables, Power Query, XLOOKUP) rather than just "Excel".
- If you link a portfolio, lead with one project that states the question, the data, the method and the answer.
For the format itself, run the free ATS resume checklist.
Everything for Data Analysts
- Data Analyst jobs1,425 open roles, updated hourly
- Data Analyst salary in the United StatesAdvertised pay in real job ads
- Data Analyst cover letter examplesThree example letters and a short email version
- Data Analyst interview questions30 questions with sample answers
- Data Analyst resume keywordsThe skills job ads ask for most
- Data Analyst job descriptionDuties, skills and requirements
- How to tailor your resume without lying
Other resume examples
Data Analyst resume FAQ
What skills should a data analyst put on a resume?
SQL, a BI tool, Excel and, increasingly, Python or R, plus the business side: defining metrics, analyzing tests and presenting results. Show each one in a bullet tied to a decision.
How do I get a data analyst job with no experience?
Build one or two portfolio projects on public data that answer a real question, and count analytical work from other jobs, such as reporting, budgets and tracking, as experience.
Should I include a projects section on a data analyst resume?
Yes, if you have little analyst experience: one or two projects with the question, tools and finding work well. After a couple of years in the role, work bullets usually replace them.
How we built this page
The FindAJobAI team wrote the three example resumes, the bullets, the skills and the advice for data analyst roles. The people, employers and numbers in the examples are invented; the structure, the tools and the way each bullet is built are the parts to copy.
The live skills section is based on 496 data analyst job ads analysed, the newest we track, with the same deterministic skill matcher as our in-demand skills report: no AI model reads the postings. It was last computed on November 2, 2026 and refreshes daily.
Last reviewed on November 1, 2026.