Sr. Manager, Sales Operations & Analytics
New
United StatesFull-TimeManager
Salary120,000 - 160,000 USD per year
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Job Details
- Languages
- English
- Required Skills
- SalesforceTableauMicrosoft ExcelData analyticsPowerPoint
Requirements
- Bachelor’s degree in Business, Finance, Economics, Marketing, or related field preferred
- Experience in mid-to-large international, matrixed organizations
- Strong expertise in sales operations, funnel management, and revenue analytics
- Advanced proficiency in Salesforce and Tableau required
- Strong Excel modeling and PowerPoint presentation skills
- Experience working with cross-functional teams including Sales, Marketing, Product, and Finance
- Strong understanding of sales methodologies (MEDDICC preferred) and go-to-market processes
- Experience with predictive modeling, AI-enabled analytics, and data visualization tools
- Excellent analytical and problem-solving skills in a metric-driven environment
- Strong communication skills with ability to present insights to executive/C-level stakeholders
Responsibilities
- Lead the development and execution of AI-enabled sales analytics, reporting, and forecasting models across multiple business units
- Build and maintain predictive models to improve revenue forecasting, pipeline visibility, and scenario planning accuracy
- Design and deliver executive-level dashboards, automated reports, and data visualizations using advanced analytics tools
- Own weekly, monthly, and quarterly sales performance reporting, ensuring accuracy and consistency across all metrics
- Conduct pipeline and funnel analysis, including conversion rates, velocity, risk identification, and revenue intervention opportunities
- Perform win/loss and opportunity analysis to identify market trends, pricing effectiveness, and sales behavior insights
- Optimize CRM systems (Salesforce) through automation, workflow improvements, and AI-driven pipeline scoring enhancements
- Analyze seller productivity, quota attainment, and territory performance to support strategic resource allocation
- Build segmentation models using advanced analytics and AI clustering techniques to support go-to-market strategies
- Deliver compelling executive storytelling combining analytics, insights, and business recommendations
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