Staff Product Analyst - Consumer Product

We 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 youll 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 youll 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 youll 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 (e.g. 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.

Qualifications :

• 9 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 (e.g. 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 (e.g. defining success metrics for a tribe standardizing measurement across brands or implementing new experimentation methodologies).

• Experience with customer behavior tracking platforms (e.g. Google Analytics Adobe Analytics MixPanel Snowplow Segment Tealium).

Nice to have:

• Experience with Airflow DBT or other data pipelining tools

• Familiarity with recommender systems ML models or ranking algorithms

• Experience scaling analytics processes or experimentation programs across multiple teams or brands. 

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 Yoga 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