Senior Sales Operations Associate

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