You sit at the intersection of data and business decisions. Clients come with messy datasets, unclear questions, and big ambitions. You figure out what the data actually says, shape it into a clear story, and present it to people who need to act on it. Pricing teams, executives, boards.
Imagine a retailer who suspects they're leaving money on the table with their category pricing. You connect their sales data with competitive signals and seasonal patterns, find the gap, and walk their leadership team through what to change. With numbers they can take straight to their P&L.
No two weeks look the same. But here's what a typical one might feel like.
A retailer wants to understand why margins are eroding in certain categories. You scope the data, map the sources, and sketch your analytical approach before the first workshop.
SQL, Python, visualization. You connect datasets others couldn't combine. The pattern is clear: seasonal demand shifts are invisible in their current reporting.
Not a dashboard walkthrough. A recommendation. You explain what you found, what it means for revenue, and what they should do next. They ask questions. You have answers.
An energy company needs to understand their data landscape. You assess data quality across systems, map ownership gaps, and help build the governance model.
A customer segmentation project needs sharper clusters. You review the approach with an ML engineer, iterate on features, and validate against business logic.
We care more about how you think than what tools you've used. But here's what the best people in this role have in common.
Honest is better than wasting your time. This role has a specific shape.
You grow faster when the work is real, the clients are senior, and the team around you has done it before.
You don't just crunch numbers. You present findings to executives who make investment decisions based on your work. Your analysis shows up in board materials, not filing cabinets.
Your mentors come from Silo AI, H&M, Deloitte, and Bilot. 20+ years average experience. And they're working alongside you on projects, not reviewing your work from a distance.
Retail pricing, energy data governance, banking customer intelligence, manufacturing operations. You'll solve fundamentally different problems and grow faster than in any single-industry role.
You'll work alongside AI strategists, ML engineers, and business consultants. You'll understand how your analysis fits into broader AI solutions. And where your career can go next.
Espoo (Keilaniemi), Tampere, or remote
Client visits as needed
Full-time, permanent
Flexible hours
English required
Finnish is a plus for local client work
Send us a short message about yourself and a link to your LinkedIn or CV. No cover letter needed. We'd rather see how you think than how you write formal applications.