What to include in a data analyst resume

A standout data analyst resume proves impact in numbers — not tools. Hiring managers already know you can write SQL; they want to see what your analysis changed. Lead with business outcomes (revenue, retention, cost saved), back them with the stack you used, and show you can communicate findings to non-technical leaders.

• Quantify business impact first — revenue influenced, churn reduced, cost avoided — then mention the tools.
• Name your data warehouse, transformation tool, and BI platform (Snowflake, dbt, Looker) so reviewers can pattern-match.
• Mention experimentation and statistical methods (A/B testing, regression, cohort analysis) — they signal seniority.
• Show data quality work — contracts, tests, SLAs — because every analytics team struggles with trust.
• Include a project or two: a dbt package, a Kaggle notebook, or a public dashboard proves you actually do the work.
• List a relevant certification (Google Analytics, dbt, AWS) only if it's recent and role-relevant.

Top data analyst skills to list

These are the skills hiring managers and ATS look for most. Weave them naturally into your experience bullets and skills section — don't just list them in a block.

Data Analyst resume bullet point examples

The single biggest resume mistake? Vague bullets. Here are 4 rewrites that turn weak bullets into strong ones. Notice how the strong versions add a metric, a scope, or a concrete outcome.