Manager, GTM Analytics

About This Opportunity

We are representing a confidential SaaS organization in their search for a Manager, GTM Analytics to lead a newly formed analytics team. This is a hands-on leadership role supporting Marketing, Sales, Revenue Operations, and Customer Operations with trusted insights, business partnership, and self-service analytics infrastructure.

You will manage a team of embedded analysts who serve as the day-to-day analytics interface for GTM leaders. Your team will own funnel reporting, campaign performance, sales and support analytics, forecasting inputs, recurring business reviews, dashboarding, metric definitions, and executive-level questions.

This role requires deep analytics judgment, strong SQL skills, and real GTM domain expertise. You might come from sales analytics, marketing analytics, revenue analytics, finance, or investment banking. The common thread is that you know how to operate with urgency, precision, and a high quality bar while coaching teams through complex data questions and delivering clear recommendations under time pressure.

Responsibilities

• Lead the analytics team, managing analysts embedded with Marketing, Sales, and Support/Customer Operations
• Build a fast, trusted operating model for intake, prioritization, quality assurance, 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 ensure analytical work leads to concrete business action
• Review SQL, dashboards, metric definitions, data caveats, and analytical narratives to maintain quality standards while moving quickly
• Identify opportunities to turn recurring requests into self-service assets, governed dashboards, metric documentation, and model improvements
• Bring advanced analytics judgment to experimentation, incrementality, cohort analysis, forecasting, and statistical readouts
• Leverage AI tools to accelerate analysis, QA SQL, produce documentation, and prototype workflows while maintaining accuracy and governance
• Develop analysts through clear expectations, direct feedback, growth paths, and a strong peer learning culture
• Manage across analysts and data engineers to ensure effective collaboration between stakeholder-facing analytics and data foundation work

What We're Looking For

• 6+ years of experience in analytics, finance, revenue operations, marketing analytics, sales analytics, business operations, investment banking, or a related field
• 3+ years managing analysts or analytics-adjacent teams, while remaining comfortable with hands-on analytical work
• Strong GTM analytics expertise: deep understanding of 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
• Excellent SQL and analytical reasoning: ability to read and write SQL, reason about data grain and joins, identify data quality issues, and coach analysts toward cleaner methods
• Comfort with statistics and advanced analytics: understanding of confidence intervals, incrementality, cohorting, regression, forecasting, and experiment readouts; ability to recognize when to partner with Data Science for heavier modeling
• Finance-grade rigor and urgency: ability to operate in a fast-twitch environment where leaders need clear answers quickly; experience in investment banking, finance, FP&A, revenue analytics, or similar high-intensity analytical environments is a strong plus
• High bar for quality, trust, and communication: ability to build review mechanisms, documentation habits, and QA standards that make analytics easier to trust; skill in explaining caveats clearly and aligning teams on source-of-truth metrics
• AI-native approach: active use of modern AI tools to accelerate analysis, QA work, summarize context, and prototype workflows; excitement about making AI central to the team's operating model
• Strong management and coaching skills: track record of raising analyst performance through clear expectations, thoughtful feedback, technical coaching, and strong prioritization
• Location: Canada or USA

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will review your application and conduct an initial screening to understand your background and fit for this role. If we move forward, we will submit your profile to our client for consideration and guide you through their interview process.

Please do not contact the hiring company directly. All communication regarding this opportunity should go through Get A Job.ai to ensure proper representation and coordination.

Pay

Compensation details will be discussed during the screening process based on experience and location.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from qualified candidates of all backgrounds and will work to provide reasonable accommodations throughout our recruiting process.