Revenue Operations Data Analyst

Role Overview

We are seeking a Revenue Operations Data Analyst to own the accuracy, hygiene, and integrity of our GTM data, and to turn that data into reporting and analysis that Sales, Customer Success, Finance, and Executive leadership can trust and act on. This role will be centered around: (1) Data — owning data hygiene, governance, and process integrity across our GTM systems; and (2) Analytics — building reporting and analysis that supports Sales and executive stakeholders.

What You Will Do

In this role, you will own the accuracy, cleanliness, and integrity of GTM data across Salesforce and related systems, define and maintain data hygiene standards, build and maintain reusable data models and dataset pipelines, design, build, and maintain dashboards and reports, conduct analyses on pipeline, forecasting, conversion, win/loss, and productivity, and automate recurring reporting workflows.

Why It Might Be a Fit

Critical Skills: Strong attention to detail and a process-oriented mindset, hands-on experience building production dashboards in Power BI and/or Tableau, strong proficiency with DAX and Power Query (M) for data modeling and calculations, solid understanding of data modeling concepts, familiarity with Salesforce data structures, data governance, and reporting, and advanced MS Excel skills.

Requirements

• 3-5 years of experience in a data, reporting, analytics, or BI-focused role, ideally supporting Sales, GTM, or Revenue Operations
• Demonstrated experience owning data quality, hygiene, or governance processes
• Demonstrated experience working cross-functionally with business stakeholders to translate needs into reliable, scalable analytics solutions
• Ability to work effectively with AI-assisted tools while applying sound professional judgement and accountability for outputs
• Demonstrable experience using AI-enabled tools as part of day-to-day work activities to improve efficiency, quality, or decision-making
• BA/BS degree in a quantitative or technical field (e.g., Analytics, Computer Science, Statistics, Economics, Engineering, Information Systems, or related discipline)

Benefits

• Health & Wellness
• Financial
• Work-Life Balance
• Unparalleled Flexible Time-Off

Tagged as: Data Analysis