Manager, GTM Analytics

Zapier • San Francisco, CA

4d • $174,200 - $261,300 • Remote

About The Position

Zapier is hiring a Manager, Analytics & Strategy to lead its newly formed GTM Analytics team. This team serves as the central analytics hub for Marketing, Sales, RevOps, and Customer Ops, with the goal of providing reliable GTM insights, enhancing decision-making speed and quality, and transforming recurring questions into sustainable self-service analytics assets. The role involves managing a team of embedded analysts who support Marketing, Sales, and Support/Customer Ops. This team will be the primary analytics point of contact for GTM leaders, responsible for funnel reporting, campaign performance, sales and support analytics, forecasting inputs, recurring business reviews, dashboarding, metric definitions, and addressing urgent executive inquiries. This is a hands-on leadership position requiring deep analytical judgment, strong SQL skills, and significant GTM domain expertise. Candidates may come from backgrounds in sales analytics, marketing analytics, revenue analytics, finance, or investment banking, and should be adept at operating with urgency, precision, and a high quality standard. The role is energized by tackling ambiguous business questions, validating data, coaching team members on complex GTM data issues, and delivering clear recommendations under pressure. It is not solely a people management role; individuals must be capable of advanced analytics, understanding statistical concepts, and guiding work on experimentation, forecasting, or segmentation. The core focus is on analytics leadership, including trusted reporting, business partnership, analytical quality assurance, stakeholder management, and establishing a more efficient and consistent operating model for GTM data. A key aspect is being AI-native in work processes and fostering the team as a hub for self-service analytics, analyst automation, and AI-assisted data workflows.

Requirements

• 6+ years of experience in analytics, finance, revenue operations, marketing analytics, sales analytics, business operations, investment banking, or a related field.
• Managed analysts or analytics-adjacent teams for at least 1 year.
• Comfortable rolling up your sleeves to review SQL, inspect a dashboard, pressure-test assumptions, and help frame the answer.
• Strong GTM analytics expertise: understanding how marketing, sales, customer operations, and revenue motions fit together.
• Experience with funnels, pipeline, bookings or ARR, campaign performance, sales productivity, support performance, forecasting, attribution, segmentation, or lifecycle analytics.
• Ability to translate GTM questions into metrics, cuts, cohorts, and recommendations that leaders can act on.
• Excellent SQL skills: ability to read and write SQL, reason about grain and joins, identify data quality issues, and coach analysts toward cleaner, more reliable methods.
• Comfortable with statistics and advanced analytics concepts such as confidence intervals, incrementality, cohorting, regression, forecasting, and experiment readouts.
• Ability to partner with Data Science for heavier modeling work.
• Finance-grade rigor and urgency: ability to operate in a fast-twitch environment where leaders need clear answers quickly.
• Ability to separate what must be directionally right today from what needs a deeper follow-up, and maintain quality even when timelines are short.
• High bar for quality, trust, and communication: ability to build review mechanisms, documentation habits, and QA standards that make dashboards and analyses easier to trust.
• Ability to explain caveats without hiding behind them, and help teams align on source-of-truth metrics across Data, Finance, Marketing, Sales, and Customer Ops.
• Excellent manager and coach: ability to raise the performance of analysts through clear expectations, thoughtful feedback, technical coaching, and strong prioritization.
• Ability to help analysts grow and coach them through ambiguous requests and work that should be automated or moved into self-service.
• AI-native and automation-minded: actively use modern AI tools to accelerate analysis, QA SQL, summarize stakeholder context, produce documentation, and prototype workflows.
• 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.
• Ability to manage across analysts and data engineers: understand the difference between stakeholder-facing analytics and data foundation work, and help both groups work together effectively.

Nice To Haves

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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed