thedutchie

Senior Manager, Revenue Operations Analytics

Apply Now

At a Glance

Location
Remote
Work Regime
remote
Experience
7+ years
Compensation
argeting a starting salary of $132,000 - $178,000 based on the intended level f
Department
Revenue Operations
Posted
2026-06-24T06:16:25-04:00

Key Requirements

Required Skills

SQLSalesforce

Domain Knowledge

  • Retail
  • SaaS

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

Responsibilities

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.

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.

Manage, mentor, and develop a high-performing analytics team, setting clear goals, prioritizing the roadmap, and ensuring timely delivery