Senior Revenue Analytics Lead
We’re building the AI-driven future of customer success, from retention to growth!
Gainsight is the AI-powered retention engine behind the world’s most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight ’s applications and AI agents to drive learning, adoption, community connection, and success for their customers. To explore how our suite of solutions is shaping the future of customer success, check out the link.
About This Role:
We’re looking for a full-time Senior Revenue Analytics Lead to join our Sales team reporting to the Senior Director, Revenue Operations. This role is a remote role based in the United States.
In this role, you’ll play a key role in shaping and scaling our GTM analytics function by building AI-enabled, self-service intelligence that drives smarter decision-making across bookings, pipeline, renewals, GRR, and customer lifecycle performance. This is a great opportunity for someone who thrives in a fast-paced, data-driven environment and enjoys working cross-functionally with teams like Sales, Customer Success, Finance, and Revenue Operations. The ideal candidate brings strong skills in GTM analytics, data infrastructure and modeling, and proactive insight generation using AI-driven workflows.
What You'll Do:
Analytics COE Leadership
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Lead the analytics center of excellence for Gainsight 's GTM organization, with an initial focus on Sales and Customer Success
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Set standards for dashboard design, metric definitions, data governance, and insight delivery across the team
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Own the quality and trust of all GTM reporting, ensuring leadership can rely on the numbers without second-guessing them
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Act as a mentor to peer analysts, focused on technical and business acumen, escalation support, knowledge and skills sharing
Revenue Analytics Across the Full Lifecycle
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Own end-to-end analytics across bookings, pipeline health, forecasting, GRR, NRR, renewals, and customer expansion
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Partner with the GTM Planning team on evolution of planning models that support AOP, quota setting, capacity planning, and scenario analysis
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Deliver executive-ready dashboards and weekly/monthly/quarterly operating cadences for Sales and CS leadership
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Partner with Finance on bookings-to-revenue reconciliation and board-level reporting
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Proactively surface risks and opportunities, moving from answering questions to anticipating them
AI-Native Analytics Transformation
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Lead the transformation from static BI dashboards to AI-enabled, self-service data exploration for GTM stakeholders
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Partner with the GTM Data Architect to establish the semantic layer — the business-side definitions of ACV, GRR, pipeline, and churn that enable reliable AI querying
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Design and deploy AI-powered analytical workflows including natural language querying, anomaly detection, and proactive insight surfacing
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Enable Sales and CS leaders to query data independently without routing every question through the analytics team
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Stay current on the evolving landscape of AI analytics tooling and bring forward recommendations
Stakeholder Partnership
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Serve as a trusted analytical thought partner to Sales VPs, CS leadership, and RevOps
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Translate complex data into clear business recommendations, connecting the numbers to the "so what"
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Support strategic planning processes including territory design, AOP, and Rules of Engagement
This is not a complete list of responsibilities, and the scope of the role may evolve with the needs of the team and business. This role will require occasional travel for team meetings, training, or company events.
What We're Looking For:
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7+ years in GTM analytics, Revenue Operations analytics, or BI roles supporting Sales or CS at a B2B SaaS company required.
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Deep fluency across the full SaaS revenue lifecycle, bookings, pipeline, ARR, GRR, NRR,