Senior Manager, Logistics Analytics

• Managing, guiding and growing a team of 3-6 analysts to develop actionable insights and data solutions that optimize logistics operations, reducing costs, and improving delivery times
• Lead the team in building, maintaining data self-serve solutions and defining metrics for platform productivity, delivery speed, and logistics costs to support day-to-day and strategic logistics decisions
• Collaborating with logistics and service operations teams to improve processes, such as route optimization, fleet utilization, and last-mile delivery efficiency
• Conducting hands-on data analysis, using SQL and analytics tools, to support deep dives into logistics performance and identify areas for improvement
• Collaborating with analytics engineering to implement data models that accelerate time to insights, enhance data self-serve, facilitate demand forecasting, inventory planning, and operational capacity management
• Providing regular reports on logistics KPIs to senior management, with insights into key trends, issues, and areas for operational efficiency gains
• Strategic partnership with domain logistics directors to shape the analytics roadmap and own the outcomes in a fast paced environment
• Providing analytical thought leadership on key strategic topics, enabling better decision making though impact quantification and pushing a data driven culture forward
• Managing complex analytical projects end to end, communicating updates/outcomes to senior leadership

• Bachelor’s degree in Supply Chain, Logistics, Data Science, or related field
• Around 10 years of experience as a Data Analyst, with proven record of leading teams and growing other analytics professionals
• Around 3 years of experience or more in logistics, supply chain, or operations analytics, with a proven track record of delivering insights to drive efficiency and cost savings
• Advanced SQL skills and experience with data visualization platforms (e.g., Tableau, Looker)
• Strong analytical and problem-solving skills, with experience in forecasting and optimization
• Excellent communication skills, with the ability to translate complex data findings into clear recommendations for logistics stakeholders

Familiarity with operations research, fleet management, inventory planning, A/B experimentation, demand/supply forecasting and warehouse operations is a plus

• A dynamic and challenging work environment
• A company committed to developing you personally and professionally
• A great working atmosphere with regular company and team events
• A vibrant and international team committed to diversity and inclusion
• Responsibility from day one in a fast growing and global company