Senior/Staff Data Analyst - People Analytics

We are on the lookout for a Senior/Staff Data Analyst - People Analytics to join the People & Culture team on our journey to always deliver amazing experiences.

Join the team that champions the employee experience at Delivery Hero. As part of the People & Culture Team, you’ll help attract, develop, and retain top talent, creating a workplace where people feel valued, supported, and empowered to grow. With each initiative you support, you’ll be building a positive culture that fuels innovation, teamwork, and a sense of belonging across our global organization.

You'll collaborate closely with senior business stakeholders, People & Culture Department leaders, and regional P&C teams from across the world, transforming raw data into actionable intelligence. You’ll analyze people data, identify trends, and develop strategies for optimization. Your work will directly impact decision making at Delivery Hero, fueling organizational performance and enhancements in employee experience with the generation of advanced data insights and predictive intelligence. You’ll be a key contributor to improving our operational excellence and strategic planning.

• Develop, maintain and improve analytical pipelines to ensure efficient data processing and reporting.
• Proactively analyse people data to identify trends and establish key performance metrics to monitor areas for improvement and optimisation.
• Partner with stakeholders to understand their data needs and provide actionable insights.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Translating technical information into digestible content to drive action plans and decision-making.
• Raise the bar in the data analysis of employee attrition, org design, efficiency drivers, D&I and other key metrics that bring best practices to the People & Culture department.
• Drive data literacy training and upskill people partners and other key stakeholders in the use and understanding of people data.

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics or related field).
• Experience with BigQuery and Python.
• Strong critical thinking, ability to deep dive and fully understand patterns in data.
• Excellent problem-solving and analytical skills, with the ability to translate data into actionable insights.
• Strong communication/influencing, and storytelling skills.
• Strong business acumen and understanding of key concepts of human resources would be a plus.
• Familiarity with languages and tools for data manipulation, analysis and plotting (R, R-shiny, R-markdown, Scikit, Numpy/Scipy, Pandas, Matplotlib, Bokeh, Jupyter).

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re 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, 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.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d 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 experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.