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You will be updated with latest job alerts via emailWe are on the lookout for an Analytics Manager to join the Logistics Analytics Team (Rider) on our journey to always deliver amazing experiences.
In our Logistics Team youll tackle high-impact challenges that make last-mile delivery efficient affordable and sustainable. Your work will directly improve experiences for riders end customers and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations supporting expansion into new areas like grocery and retail.
As an Analytics Manager you will bring insights across multiple domains manage a team of analysts and lead strategic data initiatives. Youll work closely with stakeholders in Product Tech and Operations to support data-informed decision-making while collaborating with Data Science and Engineering. While your focus will be on guiding the team and driving impact there will also be opportunities to stay hands-on contributing to analysis and shaping how we measure experiment and learn.
Manage our A/B testing operations in your domains to assess product changes
Define and track key product and business metrics ensuring data is used to measure and drive success.
Own and build accessible creative and engaging data visualizations to facilitate access to insights
Own curation of unstructured data in collaboration with Data Engineering Product and Operations
Refine challenge and support requests from stakeholders and manage generation of new data analyses
Lead data exploration projects and help identify and define future insight and data needs to support various business initiatives
Own and maintain the data catalog for all Logistics Rider related dimensions metrics and KPIs ensuring consistency documentation and accessibility
Qualifications :
3 years of experience as a BI Data or Product Analytics Manager in internet or tech companies ideally with a background as a data analyst
Bachelors degree or higher in a quantitative field (e.g. Computer Science Mathematics Engineering Physics or Statistics)
Strong SQL skills and proficiency in Python with hands-on experience working with large-scale data platforms (BigQuery experience preferred)
Solid experience with data visualization tools Tableau is a plus
Familiarity with version control systems (e.g. Git) and collaborative workflows using GitHub
Experience designing and analyzing experiments (A/B testing or similar frameworks)
Experience managing data pipelines and ETL processes
Strong stakeholder management skills with a proven track record of challenging assumptions refining project scopes and improving team workflows or analytical standards
Nice to have:
Experience with Airflow
Experience with using data lakes / data marts
Additional Information :
Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful mind-boosting endorphins: Health Checkups Meditation Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it well help you with it: Employee Share Purchase Plan Sabbatical Bank Public Transportation Ticket Discount Life & Accident Insurance Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses.
Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!
We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Full-time