Sales Analytics Manager

Job Description:

• Lead the global rollout of Gong Forecasting across the full AE organization, driving platform adoption, building executive forecast dashboards for CRO-level visibility, and designing AE/RD 1:1 coaching dashboards for Sales Leadership
• Own and evolve the Sigma Computing reporting ecosystem—including Activity Analytics, EOQ Retro, Metrics That Matter, and the GTM Reporting Catalog—replacing manual spreadsheet workflows with scalable, governed BI solutions
• Apply an AI-first approach to analytics: lead a formal Sigma AI POC, identify high-impact use cases where AI reduces time-to-answer for Sales Leadership, and deliver a strategic FY27 roadmap for AI-driven self-service analytics built on Snowflake AI
• Architect and execute the Salesforce Opportunity Split framework end-to-end—from technical requirements and Finance sign-off through pilot deployment, downstream impact analysis, and full Snowflake/Sigma data pipeline parity
• Drive GTM Data Governance by owning the cross-functional Data Dictionary, relaunching the Reporting Council, and formalizing the KPI sign-off and metric codification process with Data Engineering
• Define and document the strategic Reporting Strategy vision, including target-state outcomes, Gold Standard certified reports, and a scalable self-service analytics framework
• Partner with Sales Enablement and Field Operations to build training programs, enablement materials, and adoption strategies that drive lasting behavior change across the revenue organization
• Conduct deep-dive analyses to surface pipeline health trends, forecast risks, and performance gaps—translating findings into clear recommendations for Sales and GTM leadership.

Requirements:

• 5+ years in Sales Analytics, Revenue Operations, or GTM Analytics at a B2B SaaS company
• Sigma Computing: production-level experience building and maintaining dashboards, workbooks, and self-service reporting layers for revenue teams
• Gong: hands-on experience with Gong Forecasting configuration, dashboard development, and driving platform rollouts across an AE organization
• Snowflake: proficiency querying and building on Snowflake as a data warehouse; familiarity with Snowflake AI / Cortex features
• Salesforce: deep understanding of the Salesforce data model including Opportunity objects, pipeline mechanics, and Opportunity Splits
• SQL: strong SQL skills for pipeline validation, ad hoc analysis, and data quality debugging
• AI-first mindset: demonstrated experience evaluating and deploying AI tools within analytics workflows, with a clear point of view on where AI creates leverage in GTM contexts
• Executive communication: ability to translate complex data architecture and analytics decisions into concise, actionable recommendations for CRO-level stakeholders.

Benefits:

• Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
• In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.