Skills you'll need for Data Analyst — and how to close the gap

This page lists the skills the Data Analyst role relies on, in O*NET importance order, and points to a grounded way to build each one. Importance describes how central a skill is to the role, not pay or hiring odds.

Skills this role needs

Importance below is the O*NET role-skill rating recorded in our seed data (1-5). Build a skill through deliberate practice plus study; the skill page collects the grounded roles and cited resources for it.

The cited credential above (Google Data Analytics Certificate) is a study path whose published objectives help build these skills. No credential or course guarantees a skill or a job.

If you're coming from another field

Our pathway data lists these career-changer backgrounds as common feeders into Data Analyst: Customer Service Worker, Military Veteran, Retail Worker, Unemployed / Career Changer. These are non-occupation starting points, so we do not assume what you already know. Whatever your background, the target skill set is the same one listed above — that is your gap to close.

For the full from-your-background view, see the feeder gap matrix, which lists each target role's required skill set per feeder background.

Sources

• Coursera and Google — Google Data Analytics Professional Certificate: https://www.coursera.org/professional-certificates/google-data-analytics
• National Center for ONET Development — ONET Database: https://www.onetcenter.org/database.html

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