Manager, GTM Analytics

Required

• You are a hands-on analytics manager. You have 6+ years of experience in analytics, finance, revenue operations, marketing analytics, sales analytics, business operations, investment banking, or a related field. You have managed analysts or analytics-adjacent teams for at least 3 years, but you are still comfortable rolling up your sleeves to review SQL, inspect a dashboard, pressure-test assumptions, and help frame the answer.
• You are excellent with SQL and analytical reasoning. You read and write SQL, reason about grain and joins, identify data quality issues, and coach analysts toward cleaner, more reliable methods. You are comfortable with statistics and advanced analytics concepts such as confidence intervals, incrementality, cohorting, regression, forecasting, and experiment readouts, and you know when to partner with Data Science for heavier modeling work.
• You set a high bar for quality, trust, and communication. You know that GTM analytics only works when stakeholders trust the numbers. You build review mechanisms, documentation habits, and QA standards that make dashboards and analyses easier to trust. You can explain caveats without hiding behind them, and you help teams align on source-of-truth metrics across Data, Finance, Marketing, Sales, and Customer Ops.
• You are an excellent manager and coach. You raise the performance of analysts through clear expectations, thoughtful feedback, technical coaching, and strong prioritization. You know how to help analysts grow and coach them through ambiguous requests and work that should be automated or moved into self-service.
• You are AI-native and automation-minded. You actively use modern AI tools to accelerate analysis, QA SQL, summarize stakeholder context, produce documentation, and prototype workflows. You are excited to make AI central to the team's operating model, and to turn repeated analyst workflows into governed self-service assets, AI primitives, reusable dashboards, or model improvements.
• You can manage across analysts and data engineers. You understand the difference between stakeholder-facing analytics and data foundation work, and you help both groups work together effectively.
• Things You'll Do
• Lead the Analytics & Strategy team, managing analysts embedded with Marketing, Sales, and Support/Customer Ops.
• Build a fast, trusted operating model for intake, prioritization, QA, stakeholder communication, and recurring business reviews.
• Coach analysts to deliver high-quality work across funnel reporting, campaign performance, sales analytics, support analytics, forecasting, segmentation, attribution, and executive readouts.
• Partner with GTM leaders to clarify ambiguous questions, identify the decisions at stake, and make sure the team's work leads to concrete business action.
• Review SQL, dashboards, metric definitions, data caveats, and analytical narratives so the team can move quickly without lowering the quality bar.