domain
Analytics Manager, Courier and Logistics
Wolt Development Sverige AB
Stockholm, Stockholms län
Onsite
2026-07-20
Estimated salary · Stockholm
~ SEK 282,900 - SEK 453,300
Low
SEK 282K
Median
SEK 362K
High
SEK 452K
Market in Stockholm · Eurostat SES 2025
Estimated net pay
SEK 19,414 - SEK 30,153
/month · 18% withheld
after tax & contributions · on the estimated salary · Individual taxation — marital status and dependents do not affect it
Job description
We are looking for an Analytics Manager to join Wolt’s Courier and Logistics Analytics team!
What you’ll be doing
As an Analytics Manager at Wolt, you’ll take charge of the Courier and Logistics domain, balancing hands-on analytics work with people management responsibilities. Experience in pricing and/or supply management domains would be a significant advantage. In Wolt’s fast-paced, three-sided marketplace, you’ll find a demanding yet rewarding environment to support the business in it’s ambitious growth plans and hone your modern analytics skills.
You will have the opportunity to…
Lead and grow a team of data scientists
Set the strategic direction for analytical work within the Courier and Logistics domain
Establish a solid data and experimentation culture with your Product and operational stakeholders
Coach your team and participate hands-on in developing new metrics and conducting analytical deep dives to drive the strategy for the business
Uncover foundational causal relationships in our data that can help us to understand our business
Drive strategic decision-making within the whole Courier Group
This role combines scientific expertise with stakeholder engagement, placing you at the forefront of driving business outcomes. You will collaborate closely with the Product, Engineering, Design, and Operations teams to guide measurement strategies and tactical decisions, helping to expand the Wolt platform globally.
Our humble expectations
6+ years of experience in a data science or analytics position
2+ years of experience in team leadership* with some flexibility depending on the candidate
Expertise in statistical analysis, including hypothesis testing, experimentation, and regression analysis using statistical software packages in Python, Matlab, R, or equivalent
Proficiency in writing structured and efficient SQL queries for large data sets
Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with