Responsibilities

• 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.
• Make the team the intake point for self-service and AI automation opportunities: recognize duplicate asks, separate one-off requests from repeatable workflows, and turn recurring patterns into AI primitives, governed dashboards, metric documentation, and model improvement requests that build the robot over time.
• Bring advanced analytics judgment to experimentation, incrementality, cohort analysis, forecasting, segmentation, and statistical readouts, while partnering with Data Science for deeper modeling needs.
• Leverage AI tools in your own workflow and your team's workflows, helping the team move faster while maintaining accuracy, documentation, and governance.
• Develop analysts through clear expectations, direct feedback, growth paths, and a strong peer learning culture.

Requirements

• 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 1 year.
• You have strong GTM analytics expertise.
• You understand how marketing, sales, customer operations, and revenue motions fit together.
• You have worked with funnels, pipeline, bookings or ARR, campaign performance, sales productivity, support performance, forecasting, attribution, segmentation, or lifecycle analytics.
• You know how to translate GTM questions into metrics, cuts, cohorts, and recommendations that leaders can act on.
• 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.

Preferred

• Experience in investment banking, finance, FP&A, revenue analytics, or another high-intensity analytical environment is a strong plus.