What skills should I put on a data analyst resume?

Key skills for a data analyst resume include SQL, Excel, Python, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Analytical Thinking, Attention to Detail, Stakeholder Communication, and more. Prioritize skills mentioned in the job description and demonstrate them through quantified bullet points rather than just listing them.

How many skills should I list on my data analyst resume?

List 8 to 15 skills on your resume. Focus on the most relevant ones for each job application. Include a mix of technical/hard skills and transferable soft skills. Quality and relevance matter more than quantity.

Should I include soft skills on a data analyst resume?

Yes, but demonstrate them through achievements rather than listing them. Instead of writing 'strong communicator,' show it: 'Presented technical findings to 200-person all-hands meetings.' ATS systems also scan for soft skill keywords.

21+ Best Skills for a Data Analyst Resume

Data analyst resumes should highlight your ability to extract insights from data and communicate them clearly. Employers value SQL proficiency, visualization skills, and business context.

Technical Skills

SQL Excel Python R Statistical Analysis Data Cleaning

SQL in action

“Wrote complex SQL queries across 15 tables to identify $800K in unreported revenue leakage”

Excel in action

“Built Excel financial models with pivot tables and VBA macros used by the CFO for quarterly planning”

Visualization & Reporting

Tableau Power BI Looker Google Analytics Data Storytelling

Tableau in action

“Created 20 Tableau dashboards used by 100+ stakeholders to track real-time business KPIs”

Databases & Platforms

Snowflake BigQuery Redshift Google Sheets ETL Processes

Soft Skills

Analytical Thinking Attention to Detail Stakeholder Communication Business Acumen Problem Solving

Skill Priority Guide

Not all skills carry equal weight. Prioritize the ones most commonly requested in data analyst job descriptions.

Skill	Priority
SQL	Must Have
Excel	Must Have
Statistical Analysis	Must Have
Data Cleaning	Must Have
Tableau	Must Have
Data Storytelling	Must Have
Google Sheets	Must Have
Analytical Thinking	Must Have
Python	Nice to Have
Power BI	Nice to Have
Looker	Nice to Have
Google Analytics	Nice to Have
Snowflake	Nice to Have
BigQuery	Nice to Have
R	Bonus
Redshift	Bonus

Tip 1

Lead with SQL. It appears in 90%+ of data analyst job descriptions and is the #1 screened skill.

Tip 2

Include the business context of your analyses. "Identified $500K savings" matters more than "Ran 50 queries."

Keep Reading

→ Data Analyst Resume Example → How to Write Your Skills Section → 200+ Resume Action Verbs That Get Results → The Complete ATS-Friendly Resume Guide

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