GTM Analytics Lead

Description

About Thatch

For most people, health insurance is something that happens to them: a plan chosen by someone else, with little room to fit their life. Thatch is changing that. We help companies give every employee a real healthcare budget instead of a one-size-fits-all plan, so people can choose the coverage and care that works for them, and employers get predictable costs they can control.

It’s a simple idea, but making it real means solving hard problems across healthcare, payments, and technology, and we’re just getting started. We look for people who like solving complex problems, use good judgment, and are comfortable working through ambiguity. People here care deeply about our customers, take real responsibility for what gets built, and are driven by doing work that matters.

About the role

This role leads GTM Analytics within the Revenue Strategy function and reports directly to the Head of Revenue Strategy & Operations. You will own how Thatch measures GTM performance, understands channel economics, and governs the data foundation behind commercial decisions.

The role covers three areas: GTM performance and channel economics, GTM data strategy and governance, and analytical support for forecasting, planning, and executive reporting. Your work is the analytical engine behind all three.

You set the analytical agenda for your areas. You decide which questions matter most, focus effort on the highest-value work, and turn findings into recommendations that change where Thatch invests. You will partner closely with Marketing, Data Science, Finance, and RevOps.

Responsibilities

• GTM Performance and Channel Economics
• Build performance frameworks that show GTM health across the full customer lifecycle, from lead through close, onboarding, retention, and expansion.
• Own the framework for comparing Thatch's GTM motions: win rates, CAC, payback, and conversion by segment, geography, and channel, plus broker attribution and quoting performance.
• Partner with Marketing on funnel and attribution, with Data Science on modeling and segmentation, and with Finance on unit economics and scenario analysis.
• Spot emerging trends early and recommend where to invest and where to pull back, including clear tradeoffs.
• Prioritize the analytics roadmap by business impact.
• GTM Data Strategy and Governance
• Own the GTM data strategy and set priorities for the integrity, scalability, and evolution of the GTM team’s data foundation, in partnership with Data Science.
• Define and govern core GTM metrics, business logic, and data standards so every standing number is consistent, auditable, and reconciles with Finance.
• Set governance for definitions, lineage, quality, and usage in partnership with RevOps, Data Science, Engineering, and Finance.
• Define GTM business requirements before technical work begins. RevOps and Engineering keep ownership of technical build.
• Prioritize GTM data initiatives and make sequencing recommendations based on dependencies and business impact.
• Make sure data assets support critical use cases, including forecasting, pipeline management, planning, compensation, and performance measurement.
• Drive adoption of governed metrics and BI across GTM teams.
• Forecasting, Planning, and Reporting Support
• Build and maintain the analytical inputs behind the forecast: pipeline snapshots, coverage, stage conversion, and pacing.
• Supply the data and models that feed target setting, capacity planning, and compensation analysis.
• Deliver complete, accurate analytics for board, QBR, and MBR materials on every cycle.
• Flag when the data signals risk to the forecast or plan.
• Strategic Decision Support
• Break down ambiguous GTM questions, combining data, financial implications, and operational context.
• Lead high-stakes segment, channel, and territory analyses from problem definition through recommendation.
• Present findings, risks, and tradeoffs clearly to senior leadership.
• Background we're looking for
• Experience. 5 to 8 years in GTM analytics, RevOps, BizOps, strategy, or FP&A at a high-growth B2B company, with direct partnership with sales, marketing, and finance leadership.
• Technical depth. Expert SQL. Deep experience with sales and product telemetry data, mainstream business intelligence tools.
• Data governance. Experience owning metric definitions and data standards, and turning business requirements into technical specs in a modern data stack.
• Systems thinking. You understand dependencies across CRM, warehouse, BI, and GTM execution, and how a field change flows through to a board metric.
• Commercial judgment. Command of GTM and SaaS metrics, including win rates, conversion, attribution, CAC, payback, and retention.
• Cross-functional influence. You align Marketing, Data Science, Finance, and RevOps on shared definitions and priorities without formal authority.
• Executive communication. You deliver answers, not dashboards, and turn complex analysis into clear recommendations.
• Ownership. You own the numbers, catch errors first, and raise risks early.
• Experience we’d be particularly excited about
• Comfort operating in a fast-paced, high-growth environment, balancing speed and rigor with limited resources and evolving data
• What to expect
• We interview rigorously based on integrity, talent, and drive; the trust we display in our teammates from day 1 is a reflection of the confidence we have in this process. We aim to evaluate the things you’ll be doing every day as best we can, and we move quickly. Here's what to expect:
• 30 minute video meeting to talk through your background and interest in Thatch
• 30 minute video meeting with the hiring manager to dive deeper into your experience and the role
• 30 minute video meeting to meet 2-3 members of the team
• 30 minute video meeting with the hiring manager to work through a live case study
• 30 minute video meeting with department leadership to discuss alignment to our company values and career goals
• 30 minute video meeting with our founders to discuss your approach to culture and our operating principles
• Estimated Compensation Range
• $112,000 - $145,000 USD