Data analytics
From answering questions with data to deciding which questions are worth asking.
The steps
Exploration
Developing
Experienced
Senior
Manager
| # | Step | What changes here | Jump | Skills |
|---|---|---|---|---|
| 1 | Data / analytics internExploration · Individual contributorNo active openings | Learns to clean before analysing. | — | |
| 2 | Data AnalystDeveloping · Individual contributorNo active openings | Moves from delivering the number to explaining what it means. | Lateral moveJump: Large | |
| 3 | Senior Data AnalystSenior · Individual contributorNo active openings | Defines metrics instead of computing them. | PromotionJump: Moderate | |
| 4 | Analytics engineerExperienced · Individual contributorNo active openings | The data model becomes the product. | — | |
| 5 | Analytics managerManager · People managementNo active openings | Accountable for what the company believes, not only what it measures. | — |
What makes the differenceAlso asked for
This describes moves that happen, not a recommended sequence or the only way to get there.
Lateral moves
How people get from one step to the next, and how big the jump is. We do not say how long it takes: that depends on the person, the team and luck.
Senior Data AnalystAnalytics manager
PromotionJump: ModerateData AnalystAnalytics engineer
Lateral moveJump: ModerateA common lateral move: same domain, more engineering in the work.
How this path was built
A structured starting point: it describes how this function is organized in technology companies, not a survey of Costa Rican employers. The skills at each step come from the platform’s curated vocabulary. Each version goes through industry review before it replaces this one.
- Evidence as of
- August 16, 2026
- Reviewed on
- August 16, 2027