How the kinetic template is structured for a data analyst

The built resume opens with a summary that pairs your domain with your stack, then a skills block in three layers: query and storage, analysis and BI, then domain knowledge.

Experience bullets each carry a number — rows, dashboards, users, dollars, or hours. Education and certifications close the document; for career changers, the certificate programme sits directly under the summary instead.

Customise the structure to your industry. Marketing analysts should name the funnel stages they own; finance analysts should surface models, forecasts, and variance work; product analysts should speak in experiment reads and feature decisions. If you have built dashboards others maintain, say how many people use them — adoption is the analyst's scale. And keep the tools honest: list only what you would happily be tested on in an interview.

Layout advice for data analysts

• Lead the skills section with the query and BI stack, then statistical tools, then domain knowledge.

• Give each experience bullet a number — rows, dashboards, users, dollars, or hours saved.

ATS notes for data analyst applications

• Write "Structured Query Language (SQL)" and "Microsoft Power BI" in full at least once; acronyms alone can miss ATS filters.

• Skip tables for skills; use grouped plain-text bullets.

Live preview: Data Analyst example in the kinetic template