Technology
Data Analytics
Turn messy data into decisions leadership can trust, and build the reporting the company runs on.
What you'd actually do
- Turn a vague question into a measurable one before you write any SQL.
- Query, clean, and validate data until you trust the answer.
- Build a dashboard a team actually opens each week.
- Present findings with a recommendation, not just a chart.
Common job titles
Entry level
- Data Analyst
- Business Intelligence Analyst
- Reporting Analyst
Mid-level
- Senior Data Analyst
- Analytics Manager
- Product Analyst
Senior
- Analytics Lead
- Director of Analytics
- Head of Data
Compensation
Entry level
$75K–$100K
Mid-career
$110K–$150K
Senior
$175K+
Typical U.S. base salary estimates. Compensation varies by company, location, and experience.
Common employers
NetflixSpotifyInstacartRobinhoodMercuryAtlassianShopifySalesforce
Core skills
SQLOne BI tool (Looker, Tableau, Power BI)Statistical reasoningExperimentation basicsData modelingPython or R (helpful)Storytelling with data
Common backgrounds
- Economics, statistics, engineering, or science degrees
- Operations and finance analysts moving deeper technically
- Self-taught analysts with public project work
- Research assistants and lab analysts
What success looks like
- They are skeptical of their own numbers before anyone else is.
- They answer the question behind the question.
- Their analysis changes a decision.
Career path
- Analyst
- Senior Analyst
- Lead Analyst
- Analytics Manager
- Director
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