Senior Revenue Analytics Lead

Gainsight•Uniondale, NY

8d•$105,000 - $115,000•Remote

About The Position

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.

Requirements

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

Nice To Haves

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 modeling
Experience in a PE-backed or board-reporting environment
Exposure to CPQ workflows and subscription data
Experience with common sales-tech vendors across conversational intelligence, forecasting, and sales engagement workflows (e.g. Gong.io, SalesLoft, Clari, Kluster or similar)

Responsibilities

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