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About the Role

Spearhead the data strategy for our Logistics Service product line, shaping the future of our product through rigorous hypothesis testing and converting massive datasets into high-impact strategic narratives. Tackle challenges in automating customer support at scale, driving initiatives on chatbots, agent productivity, automated problem resolution, or predictive models for voucher and compensation issuance.

Responsibilities

Develop and refine product metrics and leading indicators.
Use quantitative analysis to provide insights that empower Product Managers and Engineers.
Plan, execute and analyze A/B tests and guide product and operations teams on methodology, design, interpretation, and decision-making.
Drive the development of scalable analytics infrastructure and self-service capabilities.
Adapt our data stack and ways of working to match GenAI advancements.
Provide technical guidance and mentorship to other analysts.
Act as a quality gatekeeper and champion a data-driven mindset across Product and Tech teams.
Partner with leaders in Product, Tech, Operations and Data to define the strategic direction of analytics for the entire department (Staff role only).
Design, build, and optimize data curation pipelines (Staff role - Analytics Engineering expertise).
Develop GenAI-driven automations for analytics teams (Staff role - GenAI expertise).
Translate business goals into concrete analytics roadmaps (Staff role - Strategic Thinking and Execution expertise).

Requirements

Bachelor's degree in a quantitative field.
5+ years of experience as a Product Analyst, Data Scientist, or similar role.
Experience preferably within fast-paced tech environments or marketplaces.
Ability to translate abstract business goals into concrete analytics roadmaps.
Expert-level SQL skills with practical experience on large-scale data platforms (e.g., BigQuery, Snowflake).
Solid Python skills for complex analytics and data visualization.
Proven ability to design, build, and optimize data pipelines.
Ownership of data curation to ensure reliable, high-quality data.
Solid understanding of A/B test design and edge cases.
Proven track record of building actionable data stories and dashboards (Tableau, Looker, or similar).
Solid experience using GenAI to partially automate workflows (Nice to have).
Demonstrated experience mentoring other analysts and leading high-impact projects with autonomy (Nice to have).
Knowledge of causal inference and statistical analysis (Nice to have).
Expert-level ability to design, build, and optimize data curation pipelines (Staff role only).
Proven experience defining processes that maintain a high data quality standard over time (Staff role only).
Ability to enforce best practices across 10+ teams (Staff role only).
Expert-level ability to use frontier GenAI for your own analytics work (Staff role only).
Proven experience developing GenAI-driven automations for analytics teams (Staff role only).
Ability to effectively drive the GenAI transformation within our analytics team (Staff role only).
Excellent ability to translate business goals into concrete analytics roadmaps (Staff role only).
Proven experience collaborating with senior leadership on highest priority projects (Staff role only).
Proven ability to proactively ideate high-impact strategic analytics initiatives (Staff role only).

Skills

Product Metrics Development
Quantitative Analysis
A/B Testing
Analytics Infrastructure Development
GenAI
Mentorship
Data-Driven Mindset
SQL
Python
Data Pipelines
Data Curation
Experimentation Design
Data Visualization
Tableau
Looker
Causal Inference
Statistical Analysis

Location

Berlin, Germany

Work Type

Hybrid
Full-time

Experience Level

Senior
Staff

Education Level

Bachelor's degree in a quantitative field

Benefits

27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to Udemy Business platform
Health Checkups
Meditation & Gym
Employee Share Purchase Plan
Sabbatical Bank
Public Transportation Ticket Discount
Life & Accident Insurance
Corporate Pension Plan
Digital Meal Vouchers
Food Vouchers
Relocation support for Berlin

About the Company

World's pioneering local delivery platform.
Operates in around 65 countries worldwide.
One of Europe’s largest tech platforms.
Headquartered in Berlin, Germany.
Listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
Company culture emphasizes high performance and community, encouraging curiosity, collaboration, and meaningful work.

Equal Opportunity

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.
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 experience—just let us know with an email to our Inclusion Officer at [email protected].
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.