Manager, Data & Analytics (Logistics)
Core
Lead a team to provide in-depth logistics insights on geographical operations, fleet performance, delivery efficiency, and cost optimization to support scaling and improve customer satisfaction.
Role type
Manager, Data & Analytics (Logistics)
Builds
Scalable, self-serve agentic AI data products and composite performance metrics for logistics operations.
Domain
Logistics, Supply Chain, Operations
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Team leadership and mentorship, Strategic alignment and roadmap planning, Operations research and causal impact quantification, Advanced analytics and decision science, Executive storytelling and stakeholder management, SQL and Python proficiency, Statistical modeling and experimentation, ML-based forecasting, Building scalable data products via AI tooling
Preferred skills
Experience in logistics, supply chain, or operations analytics, Ambiguity navigation and complex problem structuring, Cross-functional influence in fast-paced environments, Talent development and hiring
Technologies
SQL, Python, AI tooling, Semantic data models
Responsibilities
Lead, grow, and mentor a high-performing analytics team; Partner with logistics leadership to translate business priorities into analytical initiatives; Design composite performance metrics and enhance semantic data models; Champion operations research and causal impact quantification; Own logistics analytics outcomes from problem framing to execution and synthesize KPIs into executive narratives
Seniority
Manager, hands-on IC with team leadership
