2 месяца назад
Manager, Analytics & Strategy (GTM Analytics)
174 200 - 261 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Analytics & Strategy (GTM Analytics): Leading a GTM Analytics team that delivers trusted funnel, campaign, sales, support, forecasting, and executive reporting with an accent on SQL quality, analytical rigor, and self-service automation. Focus on coaching analysts, translating ambiguous business questions into actionable metrics, and building governed AI-assisted analytics workflows.
Location: Remote across the Americas (North, Central and South America)
Base salary: US$174,200–US$261,300 for the United States or CA$174,200–CA$261,300 for Canada, plus equity and bonus opportunities.
Company
Zapier builds automation products that make work more efficient, creative, and human.
What you will do
- Lead the GTM Analytics team and manage analysts embedded with Marketing, Sales, and Support/Customer Operations.
- Build an operating model for analytics intake, prioritization, quality assurance, stakeholder communication, and recurring business reviews.
- Guide funnel reporting, campaign performance analysis, sales and support analytics, forecasting, segmentation, attribution, and executive readouts.
- Partner with GTM leaders to clarify ambiguous questions and turn analysis into concrete business decisions.
- Review SQL, dashboards, metric definitions, data caveats, and analytical narratives to maintain a high quality bar.
- Turn recurring requests into governed dashboards, metric documentation, AI primitives, self-service workflows, and model improvement requests.
Requirements
- 6+ years of experience in analytics, finance, revenue operations, marketing analytics, sales analytics, business operations, investment banking, or a related field.
- At least 3 years managing analysts or analytics-adjacent teams while remaining hands-on with SQL, dashboards, and analytical problem-solving.
- Strong GTM analytics expertise across funnels, pipeline, bookings or ARR, campaign performance, sales productivity, support performance, forecasting, attribution, segmentation, or lifecycle analytics.
- Strong SQL, statistical reasoning, and analytical judgment, including confidence intervals, incrementality, cohorting, regression, forecasting, and experiment readouts.
- Ability to establish QA standards, align stakeholders on source-of-truth metrics, and communicate recommendations clearly under time pressure.
- Experience collaborating across analysts, data engineers, Data Science, Finance, Marketing, Sales, and Customer Operations.
Nice to have
- Background in investment banking, finance, FP&A, revenue analytics, or another high-intensity analytical environment.
- Experience using AI tools to accelerate analysis, QA SQL, create documentation, and prototype governed workflows.
Culture & Benefits
- Remote work across the Americas.
- Transparent, competitive, and equitable compensation practices.
- Equity and bonus opportunities.
- AI tools are encouraged during the application process, with guidance on appropriate use.
- Inclusive hiring practices focus on skills and experience rather than educational requirements; resumes and CVs are optional.
- Regular application status updates, with an aim to provide an update at least every seven days.
Hiring process
- Complete in-depth application questions covering experience and skills; resumes and CVs are optional.
- Provide recent educational experience during the background check if an offer is made.
- The anticipated application window is 30 days from the posting date, subject to change.
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