About the role and team

Our Sales Operations team powers the strategic and technical engine behind our real-world sales ecosystem.

As a Sales Operations Analyst, you will serve as a high-leverage partner, architecting the data infrastructure, AI workflows, and analytical frameworks needed to drive high-velocity commercial decision-making.

You will bridge complex business requirements and technical roadmaps, transforming multi-billion-dollar operational complexity into seamless systems.

This role is built for a hands-on operator who thrives in ambiguity, navigates cross-functional tension with poise, and scales workflows at massive volume.

What you’ll do

Architect Data Infrastructure: Design and build scalable data models and pipelines that serve as the foundation for downstream analytics across cross-functional teams.
Optimise & Automate Workflows: Identify operational bottlenecks and eliminate repetitive manual processes to optimise bandwidth across teams.
Develop AI-Powered Tools: Build innovative internal AI applications that act as technical infrastructure for sales operations.
Drive Business Insights: Analyse trends, surfacing actionable insights through dashboards and automated reporting suites.
Lead Cross-Functional Programs: Partner directly with Commercial and Analytics teams to launch high-stakes strategic initiatives and ensure seamless operational execution.

Basic qualifications

Experience: 3+ years of experience in sales analytics, data analysis, or operations, with hands-on experience designing and deploying AI-driven workflows.
Technical Architecture: Solid foundational knowledge of end-to-end AI product architecture, including front-end user interfaces and back-end integration.
Data Mastery: Advanced SQL proficiency to query and synthesize complex, large-scale datasets, paired with expert quantitative modeling in Excel.
Proven Environment: Track record of success in a high-growth tech, startup, or management consulting environment.
Project & Process Management: Demonstrated ability to drive strategic projects while effectively managing competing priorities and tight operational timelines.
Education: Bachelor’s degree in relevant discipline

Preferred qualifications

Programming: Proficiency in Python or R for data analysis, automation, and custom modeling.
Data Science Foundations: Good grasp of core data structures and functional application of data science algorithms.
Agility & Execution: Thrives in high-velocity environments; able to pivot quickly, act with urgency, and maintain high standards under tight deadlines.

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard 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. If you have a disability or special need that requires accommodation, please let us know by completing this form.