Senior Data Analyst

Delivery Hero — Germany · Posted ~2 weeks ago

Senior Full-time Visa History ✓

Skills

Advanced analytics Statistical modeling Causal inference Data visualization Stakeholder communication

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Summary

We are seeking a Senior Data Analyst to own logistics analytics domains end-to-end. Apply advanced methods like simulation, optimization, and causal inference to improve efficiency and performance in a fast-paced global environment.

Highlights

High-visibility role impacting multiple markets. Mentor juniors and drive data-driven decisions. Work on complex logistics challenges with advanced analytical methods.

Description

Job DescriptionAs a Senior Data Analyst (Logistics Analytics), you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making. Own a logistics problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, and service performance.Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact logistics challenges.Apply advanced analytical methods, including simulation, optimization, and statistical modeling, to solve complex problems such as fleet sizing, routing, staffing, and demand planning.Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the logistics value chain.Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders. Find out more about our Data Analytics folks here: Turn insights into impact!Looking for a career in data analytics? This could be the opportunity for you!