Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop complex data pipelines, transform business requirements into actionable data, and create reports to support the team in analyses and experiments.
Job Technologies
Your role in the team
- 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.
- 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.
- 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.
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Our expectations of you
Qualifications
- Advanced SQL skills and ability to write optimized queries for large data sets.
Experience
- 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.
- Strong business acumen and product-oriented thinking with significant experience in the design and implementation of analytics and reporting data models.
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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.
- Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics.
- You can choose the location from our tech hubs in Berlin, Helsinki, and Stockholm.
- 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.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Wolt Enterprises Deutschland GmbH
Wolt Enterprises Deutschland GmbH is one of the largest delivery platforms in Germany, connecting customers with restaurants, grocery stores, and local shops through an app. The company operates in 16 cities and continues to expand after becoming part of DoorDash in 2022. Its headquarters is located in Berlin.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Food Products
Senior Analytics Engineer
- Location
- Berlin
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
