Lead Sr. Analyst, Business Intelligence

Uber Freight • Chicago, IL

18h • Hybrid

About The Position

At Uber Freight, the Commercial Intelligence team builds the strategic insights engine that enables our commercial organization to diagnose performance, prioritize opportunities, and make targeted investment choices. We leverage deep GTM domain expertise to innovate the analytical models that arm our field teams to execute high-stakes decisions. As a Senior Analyst, Commercial Intelligence & Advanced Analytics, you will evolve our analytics capabilities towards forward-looking insights that improve revenue performance and operational execution. This role sits at the intersection of analytics, GTM strategy, and decision enablement. You will partner closely with Marketing, Sales, Pricing, Deal Desk, Customer Growth, and Commercial leadership to turn data into insights, predictive signals, and actionable recommendations. Your journey begins by architecting the commercial data foundation, defining the datasets and KPI logic that will serve as the single source of truth for our Marketing, Sales, Pricing, and Deal Desk teams. You will develop the diagnostic frameworks required to measure the full GTM funnel, integrating marketing-driven growth and portfolio strategy with sales execution and deal-level economics. As you solidify this framework, you will pivot into a strategic partner role, leveraging that foundation to drive optimization through predictive forecasting, market-shaping insights, and AI-assisted decision models. You will also contribute to the development of the next generation analytics layer that enables predictive, prescriptive, and AI-assisted decision making across the commercial organization. This is a high-ownership individual contributor role. You will act as a de facto lead by owning key problem areas, setting analytical standards, and influencing stakeholders across the organization.

Requirements

• 4–6 years in analytics, business intelligence, or related roles with Strong SQL experience; experience with large datasets
• Python for data analysis (modeling exposure is a plus)
• Experience with Tableau or similar BI tools
• Familiarity with cloud data platforms (e.g., BigQuery, Snowflake)
• Experience building datasets, defining KPIs, and creating reporting layers

Nice To Haves

• Experience with forecasting, experimentation, or basic predictive modeling
• Exposure to AI/ML concepts and interest in applying them
• Experience in logistics, freight, marketplaces, or supply chain
• Comfortable working in ambiguity and creating structure from incomplete data
• Hands-on approach to building before optimizing
• Ability to connect data insights to business outcomes
• Experience supporting Sales, Pricing, RevOps, or Customer Success teams
• Strong problem-solving and structured thinking
• Experience influencing decisions, not just delivering analysis

Responsibilities

• Define and develop datasets supporting pipeline, pricing, and customer performance
• Establish consistent KPI definitions across the commercial organization
• Build and maintain reporting (dashboards, WBRs, MBRs, QBRs) that provide trusted visibility
• Bring structure and clarity to imperfect or fragmented data
• Translate ambiguous business questions into structured analyses
• Identify trends, risks, and opportunities across pipeline and deal performance
• Deliver insights that explain what happened, why, and what to do next
• Work closely with Sales, GTM Strategy, Pricing, Deal Desk, and Customer Success
• Act as a thought partner, not just a report provider
• Influence decisions through data, without formal authority
• Introduce forecasting, trend analysis, and early predictive approaches
• Analyze pricing, deal, and customer behavior to inform strategy
• Help shift the organization from reporting to proactive insights
• Partner with Data Engineering to ensure scalable, reliable data models
• Contribute to analytics on GCP with consistent business logic and KPIs
• Support best practices for data quality and metric governance

Benefits

• Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more.
• US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees