Staff Product Analyst

Job DescriptionWe are on the lookout for a Staff Product Analyst to join the Consumer Product Analytics team on our journey to always deliver amazing experiences.At Delivery Hero, you’ll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers, creating data-driven, personalized interactions that keep them coming back. As part of our Consumer Team, you’ll enhance customer satisfaction and drive global growth and profitability through innovative projects.The Consumer Product Analytics Team drives product strategy and innovation by providing actionable insights on customers and products, contributing to business success. In this role, you'll have the opportunity to shape the experience for millions of users across our worldwide portfolio of platforms (FoodPanda, Pedidos Ya, Woowa, Yemeksepeti, Foodora, Talabat, HungerStation, eFood, and Glovo), directly impacting customer satisfaction and driving growth. Our diverse team of data professionals is based in Berlin, working closely with product directors, product managers, engineers, and business stakeholders to directly influence product direction. We collaborate with a larger data team, including data engineers, data scientists, and ML engineers, to share knowledge and expertise. At Consumer Product Analytics, you will have the opportunity to access high volume, rich user behavior data, engage in end to end product development cycles, work on complex product problems, and learn from many experienced data professionals.The main responsibilities of the Product Analytics Team include:Strategic Impact & Product Leadership: Act as a key strategic data partner to product leadership, influencing product roadmap and investment decisions through deep analytical insights and foresight. Proactively identify high-impact analytical opportunities to drive significant customer satisfaction and business growth.Advanced Experimentation & Causal Inference: Design, implement, and rigorously analyze A/B tests and other experimental designs (, multi-variate, quasi-experiments) with a strong emphasis on advanced statistical methods for robust hypothesis validation, accurate impact measurement, and understanding causal relationships. Drive the standardization and continuous improvement of our experimentation framework across multiple brands.Metric Framework & OKR Ownership: Define, establish, and own comprehensive product metric frameworks and quarterly OKRs. Drive alignment on "what good looks like" across product teams, ensuring clear, measurable goals that align with strategic business outcomes.Data Integrity & Tracking Excellence: Take ownership of tracking definition and work closely with various Delivery Hero brands to significantly improve the reliability, consistency, and completeness of user behavior tracking for our discovery tools. Proactively identify and resolve data quality issues at scale.Scalable ETL & Reporting Solutions: Design, build, and maintain robust data pipelines and self-service dashboards, ensuring data accessibility and empowering product teams to make data-driven decisions independently.Deep Dive & Exploratory Analysis: Conduct complex, end-to-end exploratory analyses on large-scale user behavior data (transactional, clickstream, etc.) to uncover non-obvious insights, identify root causes of trends, and directly inform product strategy and roadmap development.Technical & Mentorship Leadership: Contribute significantly to the growth and development of fellow product analysts through knowledge sharing sessions, best practice dissemination, workflow optimizations, and active participation in hiring and onboarding processes. Champion and drive analytical excellence within the team and broader organization.Qualifications9+ years of experience in product analytics or a related data-focused role, preferably within rapidly growing and dynamic environments, and with a broad mission scope or multiple stakeholders.Expert proficiency in SQL and Python for complex data manipulation, analysis, and modeling. Experience with BigQuery and large-scale cloud data warehousing concepts is a strong plus.Expertise in statistical methods applied to experimental design (A/B testing, multivariate tests, etc.), causal inference, and robust hypothesis validation. You should be able to navigate complex statistical challenges and explain methodologies clearly.Extensive experience working with large-scale user behavior data (, transactional, clickstream, app usage), including data cleaning, transformation, and analysis to derive actionable insights.Proficiency with at least one data visualization tool such as Looker Studio (Data Studio), Tableau, QlikView, or Power BI, with a proven ability to create compelling and insightful dashboards.Demonstrated ability to influence and collaborate with multiple stakeholders, including senior product managers, engineers, and business leaders. You can clearly communicate complex analytical findings and successfully drive large-scale analytics projects end-to-end (, defining success metrics for a tribe, standardizing measurement across brands, or implementing new experimentation methodologies).Experience with customer behavior tracking platforms (, Google Analytics, Adobe Analytics, MixPanel, Snowplow, Segment, Tealium).Nice to have:Experience with Airflow, DBT, or other data pipelining toolsFamiliarity with recommender systems, ML models, or ranking algorithmsExperience scaling analytics processes or experimentation programs across multiple teams or brands.