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By role
Data and analysis
3 main roles, with 4 more specific roles under them. Each role opens on how its work breaks down, with the AI tools for each part.
Turns data into answers: pulls it, checks it, analyzes it and explains what it means.
Also called analyst, reporting analyst
The work
- 1Ask the right question
- 2Get and clean the data
- 3Analyze the data
- 4Share what you found
- 5Help people act
- Analytics engineer
Builds the clean, tested data models everyone else queries, with tools such as dbt.
- BI developer
Builds the dashboards and reports a business runs on, in tools such as Tableau, Power BI and Looker.
- Product analyst
Studies how a product is used: funnels, experiments and what keeps people coming back.
- Marketing analyst
Measures marketing: campaign results, attribution and where the budget works.
Works out what a business needs from a change and writes it down so it can be built and signed off.
Also called BA, requirements analyst, systems analyst
The work
- 1Understand the business problem
- 2Work with stakeholders
- 3Define requirements
- 4Analyze data and measures
- 5Test and evaluate the solution
Uses statistics and machine learning to predict, explain and test what reporting alone cannot answer.
Also called DS, statistician, applied scientist
The work
- 1Frame the business problem
- 2Understand and prepare the data
- 3Model and test
- 4Evaluate and communicate
- 5Deploy and maintain