Senior Revenue Data Analyst
WoltBerlin, Germany; Budapest, HungaryPosted 30 March 2026
Job Description
About Wolt
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.
What makes the Finance team so special is our ‘service first’ approach to the job - we enjoy creating strong communication loops with the wider business, so that bottlenecks are minimized and that things get done quickly and efficiently.
Everybody is accountable for their own workload and takes pride in being meticulous and precise. We also enjoy learning and developing as we go - it’s important that you share this approach!
What you'll be doing
As a Senior Revenue Data Analyst, you will play a crucial role in supporting the roll out and maintenance of our revenue subledger; ensuring accuracy, and providing actionable insights to drive business growth. Your expertise in revenue accounting and proficiency with various database tools will be instrumental in delivering valuable revenue-related information and supporting decision-making processes.
Day-to-day:
Support the continued implementation of our revenue subledger to scale our revenue accounting to the next level
Support cross functional processes with Product, Analytics, Engineering and other Accounting process owners, to collect and implement accounting requirements from the business related to revenue data flow and contributing to key system initiatives and improvements
Bring creative problem-solving to ambiguous challenges – not every problem has a clean solution, and we value the ability to think on your feet, move in the right direction, and iterate rather than wait for perfect
Leverage AI tools (e.g., Claude Code, Cursor) to accelerate data analysis, automate routine reconciliation tasks, and draft documentation – demonstrating fluency in AI-assisted workflows as part of the role’s operating standard
Detect and resolve data issues and reconciliation gaps – digging into the lowest level of detail when needed to find the source of truth and implement end to end solutions
Contribute to process improvement and automation across revenue data lineage – identifying opportunities to reduce manual effort, streamline month-end close, and scale our subledger operations for new products and markets; considering both upstream and downstream impact so changes don’t create new friction for other teams
Prepare and/or review deliverables for external audit review and testing, and SOX control documentation for internal audit teams
Ad hoc analyses and projects as assigned
Our humble expectations
Degree in Accounting, Business, Data Science, or related field
5-7 years of experience in revenue accounting/finance, data analytics, and/or related field
Skilled at working across functions – able to collaborate effectively with Engineering, Product, and Finance partners, and translate accounting requirements into language non-finance teams can act on
Strong knowledge of IFRS 15/accounting principles required; US GAAP and SOX, a plus
Intermediate/advanced SQL skills and ability to work with large volumes of transactional data
Active, proven usage of AI tools (LLMs and coding assistants) in day-to-day work; be prepared to discuss specific examples
Experience with NetSuite, Snowflake, Looker, dbt preferred
Experience in the gig economy or marketplace company a plus
Comfortable using English as a working language
Must be eligible to work in the E.U.
Our Commitmen ... (truncated, view full listing at source)
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