Dutchie - Senior Manager, Revenue Operations Analytics
Requirements
• 7+ years of experience in Revenue Operations, Sales Operations, Business Intelligence, or a related GTM analytics role • 3+ years of people management experience leading analytics or operations teams • Expert-level proficiency in Salesforce reporting and at least one BI platform (Hex strongly preferred) • Proven track record owning commission plan modeling, forecasting models, pipeline analytics, and executive-level reporting • Strong SQL skills and comfort working directly with data; experience with AI/LLM tools for accelerating analytical workflows is a strong plus • Exceptional ability to translate complex data into crisp, decision-ready narratives for senior stakeholders • High analytical standards — QA all outputs from yourself and your team, catch the thing others miss, and push for precision without sacrificing speed • Demonstrated ability to think strategically and zoom in on details; ability to present a board-level insight and then walk through the underlying methodology • Strong stakeholder management and executive communication skills; influence without authority across senior cross-functional leaders • It’s a Bonus if You… • Experience in POS SaaS, retail tech, fintech, or other high-volume transactional businesses • Experience designing or implementing data governance frameworks in a scaling GTM organization • Background working in or alongside a RevOps function structured around the full customer lifecycle (acquisition → retention → expansion) • You’ll Get… • You’ll Get… • We are targeting a starting salary of $132,000 - $178,000 based on the intended level for this role. • In addition to cash compensation, our total rewards package includes: • Full medical benefits including dental and vision plans to ensure you always have the best care. • Equity packages in the form of stock options to all employees. • Technology (hardware, software, reading materials, etc..) allowance • Flexible vacation and sick days
Responsibilities
• 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 • Identify opportunities for automation and AI-assisted analysis to increase throughput and reduce manual reporting burden • Align GTM teams around shared metric definitions, reporting standards, and analytical best practices • Operate effectively in ambiguity, balancing competing priorities across a fast-moving, cross-functional environment • Drive cross-functional initiatives from an analytical lens — including territory planning, comp modeling and assessment, renewal health scoring, and TAM analysis
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