About the role
Analyze pre-sales engagement and sales efficiency to improve customer outcomes.
- •As a Senior Revenue Analytics Analyst, you'll partner with Sales Strategy, Solutions Architect, and Ecosystem teams to improve pre-sales engagement and sales efficiency using data.
- •Key Responsibilities Translate questions from Solution Architect, Sales Strategy, and Ecosystem partners into clear analytical requirements.
- •Design and build AI and analytic solutions that provide actionable insights for trial management, win rates, adoption, conversion, and overall sales metrics.
- •Craft well-structured, maintainable solutions in both business intelligence and AI tools that follow internal standards.
- •Partner with operational and data teams to define requirements for stakeholders and engagement data models.
- •Use segmentation, cohort analysis, and experimentation techniques to inform scaled engagement strategies and forecast the impact of digital programs.
- •Requirements Experience in analytics roles focused on pre-sales motions and SaaS.
- •Background combining data from multiple customer and go-to-market systems.
- •Proficiency writing complex SQL queries with joins, aggregations, common table expressions, and conditional logic.
- •Drive analysis of pipeline, pre-sales engagements, trial success rates, and other sales metrics using SQL and Python.
Tech stack
SQLPython