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The role involves designing dashboards and analytical models to track sales performance and identify growth opportunities. It also requires collaborating with data engineering teams to provide strategic insights for revenue growth and operational efficiency.
This is a remote position.
Job Title: Sales Operations Analytics Manager
About the Role:
Uber’s Grocery and Retail business is rapidly expanding, transforming how consumers access everyday essentials. As a Sales Operations Analytics Manager, you will work at the intersection of data, strategy, and execution, enabling sales leadership with insights to improve performance, identify growth opportunities, and drive strategic decisions. This role requires strong analytical skills and the ability to convert complex data into actionable insights that support business growth and operational efficiency.
Key Responsibilities:
• Design and maintain dashboards, reports, and analytical models to track sales performance and identify trends across merchant acquisition, retention, and regional growth
• Analyze sales data and market trends to provide strategic insights and recommendations for revenue growth and operational efficiency
• Support sales forecasting, capacity planning, and target setting using historical data and statistical models
• Work with data engineering and BI teams to ensure data accuracy, accessibility, and scalable analytics solutions
• Utilize SQL, Python, and visualization tools (Tableau, Power BI) to extract, transform, and present business insights
• Analyze sales funnel performance, conversion rates, and sales cycle efficiency to identify bottlenecks and improve productivity
• Conduct ad-hoc analyses to answer critical business questions and support strategic decision-making
Preferred Qualifications:
• 5+ years of experience in Sales Operations, Business Intelligence, Data Analytics, or a similar analytical role
• Experience in Grocery, Retail, E-commerce, or Q-commerce industries is highly preferred
• Proven ability to translate complex data into clear insights and present them to senior leadership
Technical Skills:
• Strong proficiency in SQL for data extraction and manipulation
• Experience with data visualization tools such as Tableau, Power BI, or Looker
• Analytical programming experience in Python (Pandas, NumPy) or R for advanced analysis and modeling
• Experience with CRM systems such as Salesforce and understanding of sales data structures
Skills & Competencies:
• Strong analytical and quantitative skills with attention to detail and accuracy
• Excellent problem-solving abilities with a data-driven approach
• Strong communication and presentation skills to explain complex insights to non-technical stakeholders
• Ability to collaborate and influence cross-functional teams
Education:
• Bachelor’s degree in Business, Economics, Finance, Statistics, Computer Science, or a related quantitative field
• Master’s degree or MBA from a top-tier institution is a plus
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