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Gainsight

Senior Revenue Analytics Lead

Gainsight

Senior Revenue Analytics Lead overseeing Gainsight's GTM analytics, focusing on AI-enabled intelligence for decision-making. Collaborating with Sales, CS, Finance, and RevOps teams.

Posted 5/27/2026full-timeRemote • New York, Rhode Island, South Carolina, Tennessee, Texas • 🇺🇸 United StatesSenior💰 $105,000 - $115,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudTableau

About the role

Key responsibilities & impact
  • Lead the analytics center of excellence for Gainsight's GTM organization, with an initial focus on Sales and Customer Success
  • Set standards for dashboard design, metric definitions, data governance, and insight delivery across the team
  • Own the quality and trust of all GTM reporting, ensuring leadership can rely on the numbers without second-guessing them
  • Act as a mentor to peer analysts, focused on technical and business acumen, escalation support, knowledge and skills sharing
  • Own end-to-end analytics across bookings, pipeline health, forecasting, GRR, NRR, renewals, and customer expansion
  • Partner with the GTM Planning team on evolution of planning models that support AOP, quota setting, capacity planning, and scenario analysis
  • Deliver executive-ready dashboards and weekly/monthly/quarterly operating cadences for Sales and CS leadership
  • Partner with Finance on bookings-to-revenue reconciliation and board-level reporting
  • Proactively surface risks and opportunities, moving from answering questions to anticipating them
  • Lead the transformation from static BI dashboards to AI-enabled, self-service data exploration for GTM stakeholders
  • 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
  • Design and deploy AI-powered analytical workflows including natural language querying, anomaly detection, and proactive insight surfacing
  • Enable Sales and CS leaders to query data independently without routing every question through the analytics team
  • Stay current on the evolving landscape of AI analytics tooling and bring forward recommendations
  • Serve as a trusted analytical thought partner to Sales VPs, CS leadership, and RevOps
  • Translate complex data into clear business recommendations, connecting the numbers to the "so what"
  • Support strategic planning processes including territory design, AOP, and Rules of Engagement

Requirements

What you’ll need
  • 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 health
  • Hands-on experience owning and governing a BI environment, not just consuming dashboards but building, maintaining, and improving them
  • Strong 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 on
  • Actively utilize AI tools to enhance analytics workflows, not just awareness but hands-on use
  • Strong stakeholder communication skills, comfortable presenting to and pushing back on senior leaders

Benefits

Comp & perks
  • fully covered medical premiums (employee-only)
  • flexible PTO
  • 401(k) plan
  • dental and vision coverage
  • remote work options
  • $10,000 lifetime fertility stipend
  • access to coworking spaces around the globe
  • dedicated Recharge Holidays - one long weekend each quarter to relax and reset

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Hard Skills & Tools
GTM analyticsRevenue Operations analyticsBusiness Intelligence (BI)Data governanceAI-enabled analyticsNatural language queryingAnomaly detectionMetric definitionsData modelingSaaS revenue lifecycle
Soft Skills
MentorshipStakeholder communicationAnalytical thought partnershipBusiness acumenProactive insight surfacingStrategic planningPresentation skillsCollaborationProblem-solvingAdaptability