Senior Revenue Analytics Analyst
Analyzes pre-sales, pipeline, adoption, trial, and partner engagement data to improve revenue operations and digital sales programs. The role requires advanced SQL and Python, cross-functional stakeholder collaboration, data modeling, experimentation, and strong data-quality practices.
About the job
Responsibilities
- Partner with Solution Architect, Sales Strategy, Ecosystem, and other go-to-market stakeholders to translate questions about pre-sales engagement, consumption, pipeline, and sales efficiency into analytical requirements.
- Design and build AI and analytics solutions for trial management, win rates, adoption, conversion, and sales metrics.
- Build maintainable business intelligence and AI solutions that help customer-facing teams monitor performance and take action.
- Define requirements for stakeholder and engagement data models with operational and data teams.
- Use segmentation, cohort analysis, and experimentation, including A/B testing, to inform scaled engagement strategies and forecast digital-program impact.
- Serve as a subject matter expert in sales analytics by documenting methodologies, sharing best practices, and guiding analysts and stakeholders.
Requirements
- Experience in analytics roles focused on pre-sales motions and SaaS, including customer engagement, adoption, and health across the customer lifecycle.
- Experience combining data from multiple customer and go-to-market systems to create unified views of pre-sales and partner engagements and outcomes.
- Proficiency writing complex SQL queries using joins, aggregations, common table expressions, and conditional logic.
- Experience analyzing pipeline, pre-sales engagements, trial success rates, and sales metrics using SQL and Python.
- Experience collaborating with Sales, Field Operations/RevOps, Finance, Customer Success, Solution Architects, Strategy, Marketing, Product, and Sales teams.
- Experience working with Snowflake, dbt models, and other data sources.
- Ability to translate complex business questions into analytical approaches and communicate findings to technical and non-technical audiences.
- Strong attention to data quality, consistency, performance, documentation, assumptions, logic, and edge cases.
- Experience working remotely and across distributed teams.
- Openness to generative AI, experimentation techniques, and new analytics tools.
Compensation and Benefits
- United States base salary: $115,200–$194,400 USD.
- Sales roles may be eligible for incentive pay targeted at up to 100% of offered base salary.
- Benefits include flexible paid time off, team member resource groups, equity compensation, employee stock purchase plan, growth and development fund, and parental leave.
Skills
SQL, Python, Snowflake, dbt, Tableau, A/B Testing, Cohort Analysis, Segmentation, Generative AI, Business Intelligence
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