What skills should a data analyst put on a resume?

Core skills are SQL, Excel, a BI tool such as Tableau or Power BI, and a programming language like Python or R. Add statistics, data cleaning, dashboarding, and stakeholder communication.

How do I write a data analyst resume with no experience?

Lead with projects. Use public datasets to build 2-3 analyses or dashboards, describe the question, tools, and findings, and link them in a portfolio or GitHub. Add relevant coursework and certifications.

Should I include a portfolio link on a data analyst resume?

Yes. A link to Tableau Public, GitHub, or a personal site lets hiring managers see your SQL, visualizations, and storytelling directly, which strengthens every claim on the page.

Data

Data Analyst Resume Example

A data analyst resume example with SQL, Python, and BI skills, decision-focused bullets, and tips to show business impact from your analysis to recruiters.

Use this example

Ethan Morales

Data Analyst, Product and Growth Analytics

ethan.morales@email.com
+1 (555) 010-7754
Denver, CO
public.tableau.com/app/profile/ethanmorales

Profile

Data analyst with 5 years of experience turning complex datasets into clear business decisions. Proficient in SQL, Python, and Tableau. Built a churn dashboard that helped reduce monthly churn by 1.6 points.

Experience

Data Analyst, Summit Streaming · Denver, CO

Apr 2022 – Present

Built Tableau churn dashboard that helped retention team cut monthly churn by 1.6 points.
Designed A/B test framework in Python, used to evaluate 40+ product experiments per year.
Automated weekly KPI reporting with SQL and dbt, saving analysts 12 hours per week.
Presented pricing analysis to executives, informing a plan change that raised ARPU by 7%.

Business Intelligence Analyst, Rockline Retail Group · Boulder, CO

Jan 2020 – Mar 2022

Developed Power BI sales dashboards for 85 store managers, replacing 20 manual spreadsheets.
Identified inventory imbalances through SQL analysis, reducing overstock costs by $540K annually.
Cleaned and merged 3 legacy data sources, improving report accuracy to 99.5%.

Junior Data Analyst, Clearpath Insurance · Denver, CO

Jul 2018 – Dec 2019

Analyzed claims data in SQL and Excel to flag anomalies, supporting $1.2M in fraud recovery.
Built monthly underwriting reports used by 4 regional teams.
Documented data definitions, cutting ad hoc questions from stakeholders by about a third.

Education

BS, Statistics, University of Colorado Boulder

Aug 2014 – May 2018

Certificates

Google Data Analytics Professional Certificate, Google

Jun 2021

Template: Compact Pro

A strong data analyst resume shows the tools you use and, more importantly, the decisions your analysis drove. Recruiters check for SQL, a BI tool, and a scripting language first. Hiring managers then look for business impact: money saved, revenue gained, time automated, or questions answered for leadership. The example above uses a compact layout that fits a lot of detail on one page while staying easy to scan.

What do recruiters look for in a data analyst resume?

Technical foundation: SQL is nearly universal, plus Excel, Tableau or Power BI, and Python or R
Business impact: Decisions informed and outcomes achieved
Data quality and automation: Cleaning, modeling, and building reliable pipelines or reports
Communication: Presenting findings to non-technical stakeholders
Domain context: Product, marketing, finance, operations, or healthcare analytics

Key skills for a data analyst resume

Querying and data: SQL, Snowflake, BigQuery, PostgreSQL, dbt
Analysis: Python (pandas), R, statistics, A/B testing, forecasting
Visualization: Tableau, Power BI, Looker, Excel charts
Spreadsheets: Excel or Google Sheets, pivot tables, lookups
Soft skills: Storytelling with data, stakeholder management, problem framing

List 8-12 skills and make sure the most important ones from the posting appear both in your skills section and in your bullets.

How should you write data analyst resume bullets?

Use action + analysis or tool + business outcome. The outcome is what separates a good analyst resume from a list of software.

Weak: "Created dashboards in Tableau."
Strong: "Built Tableau churn dashboard that helped retention team cut monthly churn by 1.6 points."

Useful analyst metrics:

Revenue gained or costs reduced from your recommendations
Hours saved through automation
Number of stakeholders, teams, or dashboards supported
Data accuracy or reliability improvements
Experiments analyzed and decisions informed

If the final decision was not yours, describe your contribution: "informing," "supporting," or "helping the team" are honest and still powerful.

Tips for a stronger data analyst resume

Lead with SQL and your strongest BI tool, since those are the most common filters.
Link a portfolio on Tableau Public or GitHub.
Show the question, not just the query. Frame bullets around business problems.
Add certifications if you are early in your career or changing fields.
Keep it compact. A dense but tidy template like Compact Pro on our templates page fits more on one page.
Tailor to the domain. Product analytics and finance analytics use different vocabulary. JotResume PRO's tailor-to-job-description feature highlights missing keywords. See pricing.

Common mistakes on data analyst resumes

Tool lists with no outcomes. Every bullet should explain why the work mattered.
Too much jargon for a recruiter who may not be technical.
No portfolio, especially for junior candidates.
Charts or skill graphics on the resume itself, which ATS cannot read.
Ignoring communication skills, which are a big part of the job.

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