Responsibilities

• Serve as an independent analytical partner to GTM leadership, analyzing performance across the full customer lifecycle (pipeline creation, conversion, bookings, retention, expansion, and churn) to surface emerging trends, quantify business impact, and recommend strategic actions.
• KPI Architecture & Dashboards: Own the Revenue organization's KPI architecture, metric definitions, and calculation logic across Sales, CX, Marketing, Product, and Finance. Rationalize reporting, reduce dashboard sprawl, and create trusted, scalable reporting.
• Planning & Scenario Analytics: Develop models that support revenue planning, pipeline coverage, conversion, velocity, push/slip, and productivity analysis. Model upside/downside scenarios and leading indicators of risk to improve organizational predictability.
• Executive & Board Support: Own the analytical development of recurring executive and Board reporting, ensuring outputs are grounded in reconciled metrics, consistent business logic, and clear, decision-ready frameworks.
• Data Modeling & Architecture: Own, build, and optimize durable transformation and semantic models across the modern data stack for core GTM concepts (accounts, pipeline, bookings, ARR, retention, expansion, churn, and customer lifecycle) while ensuring data quality and lineage.
• Analytics Innovation & AI: Leverage AI tools and automation to accelerate analytical workflows, investigation, documentation, quality assurance, and insight generation while establishing responsible AI governance and patterns.
• Cross-Functional Partnership: Collaborate closely with Revenue Operations, Sales, Marketing, Customer Experience, Product, and Finance to challenge assumptions, guide roadmap prioritization, and act as a trusted advisor on major GTM decisions.

Requirements

• B2B SaaS Experience: 6+ years supporting a B2B SaaS or recurring-revenue business, with deep fluency in SaaS/GTM economics, unit economics, and full customer lifecycle analysis across Marketing, Sales, and Customer Experience.
• Technical & Modeling Depth: Advanced proficiency in SQL, Snowflake, dbt, Fivetran, Looker (or comparable BI tool), Git, semantic-layer design, ETL/ELT concepts, and data quality monitoring, alongside strong familiarity with Salesforce and GTM data structures.
• AI Integration: Demonstrated proficiency using AI tools to accelerate analytical workflows, documentation, automation, and insight generation, with a strong ability to critically evaluate and validate AI-generated outputs against governed data.
• Analytical & Commercial Mindset: Experience building and governing enterprise KPI frameworks, pipeline/forecasting models, and executive/Board reporting with the ability to translate complex technical findings into actionable commercial insights.
• Collaborative Leadership: A track record of working across departments (Operations, Finance, Sales, CX, Product) to align on metric definitions, establish single-source-of-truth frameworks, and drive consensus.
• Adaptability & Rigor: High standard of intellectual independence and curiosity, with the ability to bring clear recommendations—not just data—in a fast-paced, evolving environment.