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Manager, GTM Analytics

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Published
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12 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

Zapier is seeking a hands-on Manager, Analytics & Strategy to lead its newly formed GTM Analytics team supporting Marketing, Sales, RevOps, and Customer Operations. The role combines people leadership with direct analytical oversight of SQL, dashboards, metric definitions, forecasting inputs, funnel reporting, attribution, segmentation, and executive readouts. The manager will establish trusted operating practices for intake, prioritization, QA, documentation, recurring business reviews, and stakeholder communication. Success requires strong GTM domain knowledge, finance-grade rigor, advanced analytical judgment, and the ability to turn repeated requests into governed self-service and AI-enabled analytics assets. The position is remote for candidates located across the Americas.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a high-scope leadership role requiring both deep technical analytics judgment and ownership of an emerging cross-functional GTM analytics operating model. The manager must balance urgent executive requests, rigorous data QA, analyst coaching, and ambiguous strategic questions across several business functions.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$217,750
US market range$174k–$261k
AI insightThe ATS provides an explicit yearly USD compensation range of $174,200 to $261,300, with a midpoint of $217,750. This range is competitive for a US-market GTM Analytics manager leading cross-functional analytics, people management, and strategic reporting responsibilities.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you build a trusted GTM analytics operating model for a newly formed team?

I would begin by defining intake channels, request-prioritization criteria, service levels, ownership boundaries, and a review process for high-impact analyses. I would establish source-of-truth metric definitions and QA checklists, then use recurring business reviews to identify repeatable questions that should become governed dashboards or self-service assets.

Describe how you would validate a dashboard before presenting it to GTM leadership.

I would first confirm the business question, metric definitions, time windows, population grain, and data lineage. I would reconcile key outputs to trusted source systems, inspect joins and filters for duplication or exclusion errors, test edge cases, and document material caveats before summarizing the decision-relevant findings.

How do you handle an urgent executive request when the data is incomplete or ambiguous?

I would clarify the decision that must be made and provide the best directionally reliable answer within the required timeframe, clearly labeling assumptions and confidence limits. I would also define a follow-up plan for deeper validation, so speed does not become a substitute for rigor.

What is your approach to deciding whether an analytics request should be automated or remain a one-off analysis?

I would assess recurrence, audience size, decision importance, stability of metric definitions, data readiness, and expected maintenance cost. Repeated, standardized questions with reliable inputs are strong candidates for dashboards, documentation, or AI-assisted workflows, while novel strategic questions should remain analyst-led until a repeatable pattern emerges.

How would you coach an analyst whose SQL output is technically correct but difficult for stakeholders to act on?

I would help the analyst start with the stakeholder decision and lead with a concise recommendation rather than the query output. We would work on structuring the narrative around the finding, business impact, drivers, caveats, and next action, while retaining enough methodological detail for trust and reproducibility.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

AI at Zapier

At Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here – that’s great! We just ask that you use them responsibly and transparently.

Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process – and when not to.

Job Posted: 08/26

Location: Americas (North, Central and South America)

Hi there!

Zapier is hiring a Manager, Analytics & Strategy to lead our newly formed GTM Analytics team. This team is the central analytics home for Marketing, Sales, RevOps, and Customer Ops, with a mandate to deliver trusted GTM insights, improve the quality and speed of decision-making, and turn repeated questions into durable self-service analytics assets.

You will manage a team of embedded analysts supporting Marketing, Sales, and Support/Customer Ops. Your team will own the day-to-day analytics interface for GTM leaders: funnel reporting, campaign performance, sales and support analytics, forecasting inputs, recurring business reviews, dashboarding, metric definitions, and urgent executive questions.

This is a hands-on analytics leadership role. we’re looking for someone who has deep analytics judgment, strong SQL skills, and real GTM domain expertise. You might come from a sales analytics, marketing analytics, revenue analytics, finance, or investment banking environment. The common thread is that you know how to operate with urgency, precision, and a high quality bar, and you are energized by analytics work: scoping ambiguous business questions, pressure-testing numbers, coaching people through complex GTM data questions, and delivering clear recommendations under time pressure.

This is not a pure people-management role. You should be able to lean into advanced analytics, understand core statistical concepts, and guide work on experimentation, forecasting, or segmentation when the work calls for it, but the center of gravity is analytics leadership: trusted reporting, business partnership, analytical QA, stakeholder management, and building a faster, more consistent operating model for GTM data. You should also be AI-native in how you work and excited to make this team a proving ground for self-service analytics, analyst automation, and governed AI-assisted data workflows.

About You

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 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.

You bring finance-grade rigor and urgency. You can operate in a fast-twitch environment where leaders need clear answers quickly. You know how to separate what must be directionally right today from what needs a deeper follow-up, and you keep quality high even when timelines are short. Experience in investment banking, finance, FP&A, revenue analytics, or another high-intensity analytical environment is a strong plus.

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.

  • 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.

How to Apply

At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We’re looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.

Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.

After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!

Zapier is an equal-opportunity employer and we’re excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone’s identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.

Zapier prioritizes the security of our customers’ information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here.

Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.

Application Deadline:

The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.

Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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