Associate, Finance & Strategy, Marketing (Fixed-Term)

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

Are you passionate about supporting business management through sharp financial analysis? Do you have solid experience crunching data and would like to work in one of the fastest growing tech companies in Europe? If so, then please read on!

The Marketing Finance & Strategy team is part of Wolt's Finance & Strategy organization, in close collaboration with the Marketing organization. We own the budget, forecasting, and efficiency tracking for Wolt's entire marketing investment - spanning Discounts & Promos, Customer Acquisition, and Brand Marketing across 22+ countries and three business lines (Marketplace, New Verticals, Commerce Platform). We work closely with Marketing leadership, regional teams, and DoorDash counterparts to make sure every euro of marketing spend is tracked, forecasted, and evaluated.

We're also one of the most AI-forward teams in Wolt F&S - Cursor, Claude Code, Glean, and custom automation are part of how we work every day.

We're looking for an Associate to own the technical backbone of our team. You'll be responsible for our data pipeline that powers our Weekly Business Review and our Forecasting Tools. Beyond keeping the engine running, your first major mission is to fix the data foundation: reconciling sources and standardizing metric definitions so that all our numbers tie across every document and system.

• Build and maintain the data pipeline behind the Weekly Business Reviews and our forecasting tools (Snowflake pulls, OKR updates, data QA)
• Validate data accuracy across sources and proactively flag anomalies and patterns before stakeholders ask
• Fix data inconsistencies between different reports and create a single source of truth
• Propose and lead initiatives to simplify our data architecture (e.g., reducing manual steps, consolidating to Snowflake-native workflows)
• Work with AI tools (Cursor, Glean) from day one to automate and improve how the team operates

• Early career with high ambition: 0–3 years from graduating university, with a Wolt-level drive and a great attitude.
• Analytical and data-driven: You excel at turning data into insights and decisions. You have hands-on experience with SQL, and ideally also with Python or similar tools for building automated data workflows - not just consuming data, but creating the pipeline behind it.
• Business-savvy: You are curious about how a marketplace business works on a deeper level and already have a solid understanding of business fundamentals. You can connect the numbers to the bigger picture.
• Proactive self-starter: You thrive in a fast-paced environment where you take ownership of your topics with proper guidance. You spot patterns and anomalies before anyone asks and can tell us about a time when your initiative had a meaningful impact — whether in a previous role, internship, or academic project.
• Clear communicator and storyteller: You can turn data into a compelling narrative. Strong verbal and written communication skills in English are essential, as it is the working language at Wolt. No local language skills needed.

• Interest in AI-assisted workflows (Cursor, Glean) - we're an AI-forward team and will teach the rest
• Background in marketing analytics or commercial finance in a marketplace or tech company
• Familiarity with Google Sheets as a reporting layer on top of SQL-based data sources
• Interest in data engineering. Simplifying source architecture, reducing manual steps

If you are excited about working in a high-growth environment, taking ownership of things you care about, and being part of an ambitious group of professionals, then click below to apply and get the conversation going! 

Please note that we do not accept applications sent by mail. You should submit your application through our careers website in English.

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s 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.