Build a data analyst resume that connects analysis to decisions.

Data analyst summary example

A focused summary might read: 'Data analyst experienced in SQL, Excel, dashboard reporting, data cleaning, and translating business questions into clear analysis. Skilled at communicating findings to nontechnical partners and documenting repeatable reporting workflows.'

Data analyst bullet examples

Connect technical work to a business use whenever possible.

• Wrote SQL queries to combine operational data and answer recurring business questions
• Built a dashboard that gave stakeholders a consistent view of key performance measures
• Cleaned and validated source data before analysis and documented known limitations
• Presented findings with charts, context, and recommended next questions

Technical skills to organize clearly

Common categories include SQL, Excel, Python or R, BI tools, visualization, statistics, data cleaning, data modeling, and databases. Do not list a language or platform simply because you used it once in a tutorial.

Projects matter for entry-level analysts

A well-documented school or personal project can demonstrate the full analysis process. State the question, source, cleaning steps, method, visualization, and limitations. Avoid presenting a class exercise as professional employment.

Tailor the analysis to the business domain

Product, finance, operations, marketing, and healthcare analyst roles ask different questions. Highlight projects and metrics that show you understand the kind of decision the target team needs to make.