Requirements

6+ years of experience as a Product Analyst, Data Scientist, or similar role, preferably within fast-paced tech environments or marketplaces.
Deep understanding of A/B test design and edge cases, causal inference, and statistical analysis.
High level experience in SQL skills with practical experience on large-scale data platforms (e.g., BigQuery, Snowflake), solid Python skills for complex analytics, automation, and data visualisation.
Proven ability to design, build, and optimize data pipelines. You take ownership of data curation to ensure that all business decisions are based on a foundation of reliable, high-quality data, and proven track record of building actionable data-stories and dashboards (Tableau, Looker, or similar) that drive business decisions.
Demonstrated experience mentoring junior analysts and leading high-impact projects with autonomy. You can influence stakeholders without formal authority.

Nice to have

Define the North Star: Develop and refine product metrics and leading indicators that accurately reflect vendor health, partner satisfaction, and business viability. Establish VSSR and related self-service metrics as key performance indicators.
Influence Roadmap: Use quantitative analysis to look beyond the numbers, providing insights that empower Product Managers and Engineers to decide what to build and why. Provide data-driven recommendations on partner behavior and feature adoption.
Drive Experimentation: Guide the team on methodology, design, interpretation, and decision-making of A/B tests. Champion vendor-facing experiments to validate self-service feature improvements and operational optimizations.
Build for Scale: Drive the development of scalable analytics infrastructure and self-service capabilities, ensuring data quality and accessibility across the organization.
Advanced Modeling: Collaborate on vendor behavior analysis and predictive models to understand adoption barriers and optimize feature rollout strategies.
Elevate the Team: Provide technical guidance and mentorship to other analysts, fostering a culture of knowledge-sharing, rigorous peer review, and technical excellence.
Evangelize Data: Act as a quality gatekeeper and champion a data-driven mindset across the Product and Tech teams.

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, we’ll 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.