Business Analyst

Schedule: FT

Job Type: Hybrid

Salary Type: Salary

Job Level: P3

Req #: 1107

About the Role

As a Business Analyst on Uber Freight’s Last Mile team, you will play a key role in shaping operational strategies, defining key performance indicators (KPIs), and driving data-driven decision-making. You will work cross-functionally to develop reporting structures, optimize processes, and provide insights that enhance performance, efficiency, and scalability. This role is ideal for a self-starter who thrives in an entrepreneurial environment and is passionate about using data to solve complex logistics challenges.

What the Candidate Will Do

• Design and implement KPI frameworks from scratch to measure and improve last-mile delivery performance. 
• Analyze large datasets to uncover trends, inefficiencies, and opportunities for optimization in last-mile logistics. 
• Develop and maintain dashboards, reports, and analytical tools to support data-driven decision-making. 
• Work closely with operations, product, and engineering teams to identify data needs and drive insights that inform strategic initiatives. 
• Support the development of forecasting models to predict demand, capacity, and delivery performance. 
• Provide recommendations on process improvements, cost reductions, and service enhancements based on data analysis. 
• Act as a key stakeholder in building scalable analytics infrastructure as the Last Mile team expands. 
• Present findings and actionable insights to leadership and cross-functional teams in a clear and compelling manner. 

Basic Qualifications

• Bachelor’s degree in business, Data Science, Statistics, Supply Chain, or a related field. 
• 3+ years of experience in business analytics, operations analysis, or a similar role, preferably in logistics, e-commerce, or last-mile delivery. 
• Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Looker, Power BI). 
• Experience working in a fast-paced, high-growth environment with a start-up mindset. 
• Ability to synthesize complex data into actionable insights and communicate effectively to non-technical stakeholders. 
• Strong problem-solving skills with a proactive, self-starter attitude. 
• Familiarity with Python, R, or other programming languages for data analysis is a plus. 

Preferred Qualifications

• Understanding of logistics, transportation networks, or supply chain management is preferred. 

Benefits & Compensation for U.S. Employees

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.

Illinois: The target base salary for this position is between $81,200 to $106,800 + 8% bonus 

About Uber Freight 

Uber Freight is a market-leading enterprise technology company powering intelligent logistics. With a suite of end-to-end logistics applications, managed services and an expansive carrier network, Uber Freight advances supply chains and moves the world’s goods. Today, the company manages nearly $20B of freight and one of the largest networks of carriers. It is backed by best-in-class investors and provides services for 1 in 3 Fortune 500 companies, including Del Monte Foods, Nestle, Anheuser-Busch InBev, and more. For more, visit www.uberfreight.com.

Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.