AI & DATA
Data Analyst
Turn raw numbers into decisions people can act on.
Why it fits you
You like digging into numbers until they tell you something true, and you're not satisfied with an answer until the data backs it up.
You default to checking the data before trusting an opinion.
You connect findings back to what the business should do.
You explain what you found so people actually act on it.
What you actually do
Explore and clean data
Pull data from different sources and make it trustworthy to work with.
Build reports and dashboards
Turn raw numbers into something people can check at a glance.
Investigate a specific question
Dig into why a metric moved, and what's actually driving it.
Present findings
Explain what the data shows in a way non-analysts understand.
A day in the life
- 9:00 AM
Check overnight metrics
Scan dashboards for anything unusual.
- 10:30 AM
Deep-dive analysis
Investigate a specific business question with data.
- 1:00 PM
Stakeholder meeting
Share findings and answer questions from the team.
- 3:00 PM
Build or update a dashboard
Turn a recurring question into a self-serve report.
Skills you'll use
How this career can grow
Junior Data Analyst
Entry level
Data Analyst
Own analysis for a specific area
Senior / Lead Analyst
Shape how the company uses data
Titles, timelines and paths vary a lot by country, company and team — this is a typical shape, not a promise.
Where you could work
Every data-driven company needs someone to make sense of its numbers.
How to get there
Learn SQL and spreadsheets well
The two tools you'll use constantly, no matter the company.
Practice on real datasets
Analyze public data and turn it into a clear finding, not just a chart.
Get real experience
Target analyst internships or entry-level analytics roles.
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4 stages · Self-paced
Roles differ by company, team and country. This page describes typical work to help you explore — it isn't a job guarantee, and your day-to-day may look different.