Senior Manager, Revenue Operations Analytics

About This Job

The Senior Manager, Revenue Operations Analytics will lead the analytics function within Revenue Operations, owning the data infrastructure, reporting, and insight generation that powers Dutchie's go-to-market decision-making. This is a newly created leadership role designed to bring senior ownership, analytical rigor, and strategic leverage to RevOps as the function scales. You will act as a trusted analytical partner to Sales, Customer Success, Marketing, and Finance leadership — translating complex data into clear, actionable intelligence that drives revenue growth and operational efficiency.

This role sits at the intersection of strategy and execution. You will be equally comfortable designing a measurement framework for a new GTM motion and diving into the underlying data to validate it yourself. You will be a leader of analysts while maintaining close proximity to the work, and you will be expected to leverage AI tools and automation to meaningfully accelerate the speed and quality of your team's output.

What You'll Do...

• Manage, mentor, and develop a high-performing analytics team, setting clear goals, prioritizing the roadmap, and ensuring timely delivery
• Foster a culture of intellectual curiosity, accountability, and continuous improvement
• Model and embed AI-augmented workflows across the RevOps function — from data exploration and anomaly detection to narrative generation and stakeholder reporting
• Serve as the primary analytical thought partner to Sales, CS, Marketing, and Finance leadership, proactively surfacing trends, risks, and opportunities before they are asked for
• Translate revenue strategy into measurable frameworks — defining the right metrics, leading indicators, and reporting cadences for each GTM function
• Contribute to annual planning cycles including quota modeling, capacity planning, territory design, and headcount analysis
• Own the end-to-end revenue reporting infrastructure, including dashboards, KPIs, and recurring executive-facing reporting in Hex, Looker and Salesforce
• Lead forecasting analytics — building and maintaining models that improve call accuracy and pipeline predictability across segments
• Analyze funnel conversion, deal velocity, retention, expansion, and NRR trends to diagnose performance gaps and recommend interventions
• Deliver ad hoc analyses that are rigorous, clearly communicated, and directly tied to a decision or action
• Establish and enforce data governance standards — metric definitions, field hygiene, documentation, and change management — across the RevOps tech stack
• Partner with Systems and BI/Data Engineering teams to ensure Salesforce, Looker, HubSpot, and Gong data is clean, consistent, and trustworthy