Sr Sales Operations Associate, Uber for Business
Sales Operations, Operations
New York, New York | San Francisco, California

About the Role
The Uber for Business Analytics and Insights team enables data-driven decision-making across sales, operations, and growth by building scalable reporting, delivering AI-powered, actionable insights, and deploying advanced analytics and machine learning. Projects range from KPI dashboards and automated reporting pipelines to ML and AI-based models that forecast Full Potential, estimate share of wallet, and surface next-best actions for sales teams. A candidate in this role will directly influence sales strategy, uncover growth opportunities, and embed analytics and AI into high-impact, decision-driving business workflows.

What You'll Do

• Build and maintain dashboards and AI-powered analytics products that track key sales and business KPIs and highlight recommended actions
• Develop, test, and operationalize ML and AI models for forecasting, Full Potential, share of wallet, and opportunity prioritization
• Analyze performance trends and customer behavior to surface proactive, actionable insights for Sales and Growth teams
• Partner with Finance, Sales, Strategy, and Operations to translate business questions into scalable analytics and AI solutions
• Communicate insights clearly to stakeholders, driving adoption of data- and AI-informed decision-making

Basic Qualifications

• 4+ years of experience in a similar role
• Strong proficiency in SQL and Python for data analysis, reporting automation, and scalable workflows
• Bachelor degree

Preferred Qualifications

• Hands-on experience building and maintaining dashboards and reports (e.g., Tableau) that surface clear, actionable insights for sales and business stakeholders
• Ability to translate business problems into analytical and AI-driven solutions that inform strategic decisions
• Strong business acumen in sales performance, market share, and opportunity sizing, with the ability to influence strategy through AI-augmented data storytelling
• Experience building, deploying, and operationalizing ML and AI-based models (e.g., regression, forecasting, opportunity scoring), including monitoring and integration into business workflows (Flask, MLflow, or cloud services)
• Advanced statistical expertise (multivariate regression, time series analysis, A/B testing) combined with applied AI techniques to generate proactive insights
• Experience with cloud platforms and data warehouses (GCP/AWS/Azure; BigQuery or Snowflake) to scale analytics, AI tooling, and model training

For New York, NY-based roles: The base salary range for this role is USD$131,000 per year - USD$145,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$131,000 per year - USD$145,500 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

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.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.