Analytics Engineer

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. Analytics at Wolt is a business-critical area that covers three different teams: data science, regional business operations, and analytics engineering. The complexity of online delivery, differences in the economics and dynamics of the cities we operate in, and vast amounts of data make our work truly interesting! Now we are looking for two experienced Senior Analytics Engineers to join our Analytics Engineering teams (Consumer or Merchant domain). You can work in Berlin, Stockholm or Helsinki. About the role The role is focused on the business needs - you’ll be working within a cross-functional team, making sure your teammates get the insights needed for their operations. The role requires interpreting the needs and requests of our internal stakeholders from business and product, and transforming them into actionable data. Data Scientists working in the domain will be your closest partners in your day-to-day work, as your solutions will enable them to create relevant experiments, A/B tests, and analyses. Your daily work will include Developing reporting and metrics quality as a whole, from understanding the needs of the business to providing easily understandable and actionable data. Working on our centrally maintained data integrations and data pipelines powering our Data Warehouse, our data models, and dashboards. You’ll get to utilize our modern tech stack as part of your work (Snowflake, SQL, Looker, Wolt Inhouse ETL, Airflow, Dagster, Github). Design and implement complex data pipelines with dependency control, orchestration, and auto-materialisation logic. Develop a self-service data modelling strategy and partner with Analytics and other stakeholders for implementation. Increase data literacy across the domain and expertise through hands-on training and documentation. Lead, mentor, and guide more junior team members. Our humble expectations 5+ years of experience working as an Analytics Engineer or BI Developer. Strong hands-on experience with data integrations, data pipelines, data models, metric development, and dashboards. Tech skills: Snowflake, SQL, Airflow, DBT, Looker, or other visualization tools like Tableau, Power BI, etc. Advanced SQL skills and ability to write optimized queries for large data sets. Strong business acumen and product-oriented thinking with significant experience in the design and implementation of analytics and reporting data models. What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. You can choose the location from our tech hubs in Berlin, Stockholm or Helsinki. You have the chance to decide the ways of working: a hybrid, at the office, or remote within the location above. You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Next steps The position will be filled as soon as we find the right person, so apply promptly. For any questions, contact Zhanna Filintseva at zhanna.filintseva@wolt.com. Our Commitment to Diversity and Inclusion 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.