Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailAt Wolt we create technology that brings joy simplicity and earnings to the neighborhoods of the 2014 we started with delivery of restaurant food. Now were building the delivery of (almost) everything and youll find us in over 500 cities in 30 countries around the 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isnt always easy but its definitely exciting. Here youll learn more build more and ship more than in most other companies. Youll be challenged a lot but also have a lot of fun on the way. So if youre a self-starter with drive and entrepreneurial spirit this could be the ride of your life.
The Business Operations Team at Wolt focuses on solving country- and region-specific marketplace challenges and is tasked with growing revenue and profitability. We work to understand the underlying drivers of growth at the market level and identify the best opportunities to have an impact.
We take on a diverse set of challenging questions across geospatial logistics and economics domainshelping balance Wolts multi-sided marketplace of courier partners customers and merchant partners to meet both our topline and bottomline goals. Our work contributes to optimizing the customer experience improving income opportunities for courier partners and merchants and driving growth and efficiency across the board.
We work closely with local operations teams across 30 markets. Our core work covers customer retention economic efficiency and geospatial analysis but frequently expands beyond these areas.
In this role youll be a key member of the Germany leadership team partnering with our General Manager Heads of Operations Marketing and C-Level.
Youll lead the Germany Analytics teamtwo senior data scientists to identify and drive incremental short-term growth and underwrite long-term strategic decisions with data driven advanced modeling. Optimise full P&L decision-making across the business Embed statistical and experimental rigour into all major operational decisions Simplify and automate our operational decision making processes & drive incremental growth through advanced modeling and recommendations
Day-to-day activities:
Youre not a typical Data Science manager. You care more about uncovering real opportunities than building perfect models. Youre comfortable moving fast making trade-offs between speed and rigor and guiding stakeholders through that decision-making.
Were committed to growing and empowering a more inclusive community within our company industry and cities. Thats why we hire and cultivate diverse teams of people from all backgrounds experiences and perspectives. We believe that true innovation happens when everyone has room at the table and the tools resources and opportunity to excel.
Required Experience:
Manager
Full Time