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 LeadershipLead the analytics center of excellence for Gainsight's GTM organization, with an initial focus on Sales and Customer SuccessSet standards for dashboard design, metric definitions, data governance, and insight delivery across the teamOwn the quality and trust of all GTM reporting, ensuring leadership can rely on the numbers without second-guessing themAct as a mentor to peer analysts, focused on technical and business acumen, escalation support, knowledge and skills sharingRevenue Analytics Across the Full LifecycleOwn end-to-end analytics across bookings, pipeline health, forecasting, GRR, NRR, renewals, and customer expansionPartner with the GTM Planning team on evolution of planning models that support AOP, quota setting, capacity planning, and scenario analysisDeliver executive-ready dashboards and weekly/monthly/quarterly operating cadences for Sales and CS leadershipPartner with Finance on bookings-to-revenue reconciliation and board-level reportingProactively surface risks and opportunities, moving from answering questions to anticipating themAI-Native Analytics TransformationLead the transformation from static BI dashboards to AI-enabled, self-service data exploration for GTM stakeholdersPartner with the GTM Data Architect to establish the semantic layer — the business-side definitions of ACV, GRR, pipeline, and churn that enable reliable AI queryingDesign and deploy AI-powered analytical workflows including natural language querying, anomaly detection, and proactive insight surfacingEnable Sales and CS leaders to query data independently without routing every question through the analytics teamStay current on the evolving landscape of AI analytics tooling and bring forward recommendationsStakeholder PartnershipServe as a trusted analytical thought partner to Sales VPs, CS leadership, and RevOpsTranslate complex data into clear business recommendations, connecting the numbers to the "so what"Support strategic planning processes including territory design, AOP, and Rules of EngagementThis 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: 7+ years in GTM analytics, Revenue Operations analytics, or BI roles supporting Sales or CS at a B2B SaaS company required.Deep fluency across the full SaaS revenue lifecycle, bookings, pipeline, ARR, GRR, NRR, renewals, and customer healthHands-on experience owning and governing a BI environment, not just consuming dashboards but building, maintaining, and improving themStrong experience with modern BI tools (Sigma Computing highly preferred; Looker, Tableau, or similar accepted)Experience with cloud data warehouse environments (Snowflake preferred; BigQuery or Redshift acceptable; not responsible to build pipelines but will need to understand the data model and work confidently within it)Proven ability to define and govern business-critical metrics and translate business logic into data structures others can rely onActively utilize AI tools to enhance analytics workflows, not just awareness but hands-on useStrong stakeholder communication skills, comfortable presenting to and pushing back on senior leadersNice-to-have skills:Experience with Gainsight as a CS platform (understanding of health scores, renewal workflows, and the data it produces)Familiarity with dbt or SQL-based data modelingExperience in a PE-backed or board-reporting environmentExposure to CPQ workflows and subscription dataExperience with common s