Sr. Strategic Data Finance Analyst

About the role

The role defines and executes strategic analysis for Uber Freight's growth platform in partnership with business unit leads and finance leadership.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Consolidated financial views are formed by merging data from multiple Business Units into one coherent P&L that supports detailed, drillable analysis for decision-makers.

A cross-BU data strategy is established for Transportation Management, Brokerage, and other units, aligning definitions, logic, and standards to enable unified analysis.

Complex financial data is translated into high-impact read-outs for ELT, providing executives with insights that guide investment choices and platform growth constraints.

Scalable financial models are constructed and maintained by decomposing complex structures into granular components to support forecasting and what-if analysis.

Projects are managed from initial concept to final delivery, with ownership ensuring timely completion and accountability for outcomes across teams.

Innovation drives approaches beyond past efforts, encouraging creative, adaptive learning of new technical skills to improve data reliability and analytical reach.

SQL extracts, manipulates, and analyzes complex datasets, enabling efficient exploration and reproducible insight generation in financial workflows.

Automated dashboards are built in Tableau or Power BI to track metrics and indicators, giving stakeholders immediate visibility into financial and operational health.

Strong problem-solving and organizational skills navigate ambiguity and manage competing priorities in a fast-paced setting.

Effective collaboration coordinates with data, operations, and leadership teams in a cross-functional environment to align assumptions and priorities.

Industry experience in logistics, supply chain, or fast-paced tech or start-up settings reflects familiarity with operational complexity and rapid change.

Familiarity with Oracle Suite tools such as Fusion, Hyperion Essbase, or EPBCS supports integration and consistency across enterprise data systems.

Requirements

3+ years of proven ability in analytics, data, or finance in fast-paced, data-intensive settings is required for readiness in strategic analysis and stakeholder collaboration.

SQL proficiency must cover extraction, manipulation, and analysis of complex datasets to reduce manual work and increase reproducibility.

Advanced Excel or Google Sheets skills are necessary for calculations, reporting, and validation in financial analysis.

Data visualization experience must include building automated dashboards in Tableau or Power BI.

The role is based in Chicago, Illinois, with hybrid arrangements and does not sponsor immigration or provide visa sponsorship.

Nice to have

Prior experience in logistics, supply chain, or fast-paced tech or start-up environments is valued for understanding freight workflows and stakeholder priorities.

Skills & tools

Proficiency in SQL, Excel or Google Sheets, Tableau or Power BI, and Oracle Suite is used for analysis and reporting.

Practical notes

Work is based in Chicago, Illinois, with hybrid arrangements. This role does not sponsor immigration or provide visa sponsorship. Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

The role focuses on strategic finance and data analysis in a freight logistics setting. Professionals use SQL, Excel, visualization tools, and data platforms to turn data into decisions. The environment emphasizes fast-paced collaboration across business units and cross-functional problem solving.