Senior Manager, Logistics Analytics & Optimization

Uber Freight

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Salary: $143,150–$196,000 / yr
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k

This role $170k

$131k $245k

below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $164,150–$223,750 — the blue band above. At the midpoint, this role pays about $170k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Uber Freight

Uber Freight is a logistics technology platform that connects shippers with carriers to simplify freight transportation, offering digital load booking, pricing transparency, and supply chain management tools.

Uber Freight currently has 9 open roles on FindRole.

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At a glance

TL;DR · Senior Manager, Logistics Analytics & Optimization

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The Senior Manager, Logistics Analytics & Optimization leads a team of advanced technical professionals to design and optimize complex freight networks. This role involves managing engineering teams to deliver analytics outcomes, driving automation, and translating business dynamics into scalable solutions. Key responsibilities include designing roadmaps for freight routing optimization, capacity utilization, and cost structures while identifying network inefficiencies to improve margins and service reliability. The position requires conducting deep-dive analyses and building repeatable frameworks using SQL, Python, Excel, and GCP tools. Candidates must develop dashboards in Tableau or Power BI and manage large-scale datasets and ETL pipelines. The work focuses on solving freight economics problems, including continuous moves, dedicated fleets, and load matching, by applying operations research and network optimization methodologies to improve profitability across 3PL and 4PL businesses.

Skills

SQL Python GCP Tableau Power BI ETL Excel Operations Research Network Optimization Scenario Analysis VBA Data Science AI Simulation

What you'll do

Manage a team of advanced technical professionals by setting KPIs, providing coaching, and delegating tasks to maximize productivity.
Design and define the roadmap for analytics projects related to freight routing, capacity utilization, and cost structures.
Integrate data from various sources to drive insights regarding cost, capacity, and operational constraints using optimization techniques.
Direct the design of automated analytics frameworks and scalable procedures to improve network margins and service reliability.
Partner with commercial leadership to deliver scenario analyses and data-backed recommendations for 3PL and 4PL businesses.
Conduct deep-dive analyses using SQL, Python, and GCP tools to support engineering and business decisions.
Build and maintain repeatable analytical frameworks and dashboards for ongoing network evaluation and performance monitoring.
Establish governance frameworks and documentation standards to ensure all network models and data pipelines remain transparent and auditable.

What we're looking for

8+ years of experience in logistics, transportation, freight brokerage, or supply chain network design.
3+ years of experience directly managing advanced analytical or engineering teams.
Advanced proficiency in SQL and Excel (complex formulas, scenario modeling).
Experience building dashboards and operational metrics in Tableau, Power BI, or similar tools.
Deep expertise in operations research, network optimization, and commercial freight economics.
Expertise with optimization methodologies related to routing, capacity planning, and service-level trade-offs.
Experience/familiarity with guiding data science or analytics teams in deploying AI-powered decision support tools (preferred).
Experience with Python, GCP, or agentic frameworks for data analysis and automation (preferred).

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