Contribute to regional logistics projects to enhance performance across APAC and EU markets, with a focus on Delivery Areas.
Conduct cross-functional experiments on pricing and customer choice to optimize performance and minimize lost orders through targeted testing.
Analyze extensive product data to understand rider, vendor, and customer behaviors, using insights to guide product direction.
Develop visualizations from large data sets to support effective decision-making within the team and across functions.
Identify and address inefficiencies in logistics operations to enhance rider and customer experiences.
Support data-driven initiatives aimed at optimizing delivery flows and operational workflows
What you need to be successful
Minimum 5 years of proven experience in logistics, product operations, or similar roles within tech, mobility, or delivery industries.
Proficiency in tools such as Excel, and data visualization platforms (e.g., Tableau, Power BI).
Strong understanding of experimentation methodologies, including A/B testing and performance optimization strategies.
Proven ability to interpret large datasets, identify trends, and translate findings into actionable strategies.
Effective cross-functional collaboration skills, with experience working across diverse markets and teams.
Strong problem-solving capabilities, adaptability, and a proactive approach to challenges.
Excellent communication skills, both verbal and written, with the ability to influence stakeholders.
Familiarity with dispatching systems, logistics workflows, or Delivery Areas mechanisms is a plus.
Prior experience working across multiple regions is highly desirable.
Who we are
foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
Create weekly replenishment plans on a supplier level based on inventory parameters, actual sell-out, and planned forecastParticipate in S&OP forecast meetingsCalculate a proper supply plan based on g
