Senior Data Analyst – Logistics Analytics

About the role

As 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. You’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within a functional analytics team.

Key responsibilities

• 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 and applying causal inference methods to inform business decisions.
• Build and scale data products and analytical tools, leveraging modern data stacks and 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 findings clearly, translating complex analyses into actionable recommendations and aligning technical and business stakeholders.

Required profile

• Bachelor’s degree in a quantitative field (e.g., Statistics, Operations Research, Mathematics, Computer Science, Engineering) or equivalent practical experience.
• 5–8 years of experience in analytics or data science, with proven experience in logistics, supply chain, or operations analytics.
• Track record of solving problems such as fleet sizing, routing, staffing, or demand planning and delivering measurable business impact.

Required skills

• Strong technical proficiency in SQL and Python, with experience working with large‑scale datasets.
• Experience with modern data platforms, preferably Google Cloud ecosystem (BigQuery, Vertex AI, Google Colab, Google Sheets) or similar cloud‑based data stacks.
• Experience applying advanced analytical methods, including simulation, optimization, statistical modeling, causal inference, and experimentation.

What we offer

• A dynamic and challenging work environment.
• Company commitment to personal and professional development.
• Regular company and team events fostering a great working atmosphere.
• Responsibility from day one in a fast‑growing global company.