Manager, Data & Analytics (Logistics)

About the Company

Foodpanda is a part of the Delivery Hero Group, a global pioneer in local delivery platforms operating in approximately 70 markets worldwide. The company is headquartered in Berlin, Germany, and has been publicly traded on the Frankfurt Stock Exchange since 2017. With a workforce exceeding 40,000 employees globally, Delivery Hero is expanding into quick commerce, aiming to deliver groceries and household essentials within short time frames.

Job Overview

As Manager of Data & Analytics focusing on Logistics, you will lead a team dedicated to generating deep analytics insights related to geographic operations, fleet effectiveness, delivery efficiency, and cost control. Your role involves collaborating with Logistics, Service Operations, and other analytics teams to promote data-informed decision-making that fuels growth and enhances customer satisfaction.

Key Responsibilities

• Lead and grow a talented analytics team by providing coaching and mentorship to solve complex logistical challenges, ensuring scalable and impactful solutions.
• Collaborate with logistics leadership to translate key business priorities into actionable analytical projects, shaping the analytics strategy and supporting performance management in a dynamic setting.
• Develop composite performance metrics to guide strategic objectives, improve semantic data models, and partner with Analytics Engineering and AI Centers of Excellence to create and deploy self-service AI data products.
• Employ advanced analytics techniques such as operations research, causal impact analysis, and decision science to support strategic decision-making and uncover efficiency gains.
• Manage end-to-end logistics analytics initiatives, from problem definition through to execution and crafting executive-level reports that clearly articulate risks, trends, KPIs, and actionable insights.

Candidate Profile

• A bachelor’s degree in a quantitative discipline or equivalent experience with over 8 years in analytics or data science, including leadership experience managing high-performance teams.
• A strong history of producing significant improvements in logistics, supply chain, or operational analytics focusing on cost, efficiency, and service metrics.
• Proficiency in SQL and Python, with experience in statistical modeling, A/B testing and causal inference, operations research methodologies (simulation, optimization), machine learning forecasting techniques, and constructing scalable AI-driven analytical solutions.
• Exceptional analytical and problem-solving capabilities in ambiguous situations, able to dissect complex business issues and translate findings into actionable strategies.
• Proven ability to collaborate with senior leaders, influence decision-making without direct authority, and drive consensus across cross-functional teams in a rapid and evolving workplace.
• Demonstrated success in elevating analytics teams by recruiting, mentoring, and evolving the analytics function towards impactful decision science that shapes business results.

Additional Details

• Engage in a stimulating and challenging work setting committed to your personal and professional development.
• Benefit from a vibrant international and diverse environment supporting inclusive collaboration.
• Enjoy a lively workplace culture highlighted by frequent company and team engagement events.
• Assume responsibility immediately in a fast-evolving global organization.