Revenue Operations Data Analyst

Role Overview

This role sits at the intersection of data quality, business intelligence, and revenue operations, helping ensure GTM teams have accurate information they can confidently act on. The environment is fast-paced, collaborative, and highly data-driven, with significant ownership and opportunities to improve systems and processes.

What You Will Do

You’ll own the integrity and governance of data across Salesforce and related systems while building scalable reporting and analytics solutions. Your work will support Sales, Customer Success, Finance, and executive stakeholders with clear insights into pipeline, forecasting, conversion, productivity, and customer performance.

Why It Might Be a Fit

You’ll replace manual processes with reliable dashboards, reusable data models, and automated workflows. Over time, you’ll expand into a strategic analytics partner for Customer Success and broader revenue operations.

Requirements

• 3–5 years of experience in data, reporting, analytics, business intelligence, or a related function, ideally supporting Sales, GTM, or Revenue Operations.
• Demonstrated experience owning data quality, validation, hygiene, or governance processes as a core responsibility.
• Hands-on experience building production dashboards using Power BI and/or Tableau.
• Strong proficiency with DAX and Power Query (M), including data modeling, calculations, and transformation workflows.
• Solid understanding of data modeling concepts such as star and snowflake schemas, fact and dimension tables, and semantic layers.
• Familiarity with Salesforce data structures, reporting capabilities, and data governance practices.
• Advanced Microsoft Excel skills, including pivot tables, advanced formulas, and Power Query.
• Strong data visualization and storytelling abilities, with the ability to turn complex analysis into clear, decision-ready insights.
• Demonstrated ability to collaborate with business stakeholders and translate their needs into scalable analytics and reporting solutions.
• Strong attention to detail and a process-oriented mindset, with the discipline to maintain high standards of data accuracy.
• Ability to manage multiple projects simultaneously, prioritize effectively, and deliver against tight timelines in a fast-moving environment.
• Customer-focused, proactive, and comfortable taking ownership of projects with limited supervision.
• Demonstrated experience using AI-enabled tools as part of day-to-day work to improve efficiency, quality, or decision-making.
• Ability to work effectively with AI-assisted tools while applying sound professional judgment and accountability for results.
• Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Engineering, Information Systems, or another quantitative or technical discipline.

Benefits

• Remote work opportunity in Canada.
• Country-specific benefits designed to support employee wellbeing and financial security.
• Health and wellness benefits.
• Financial benefits and support.
• Work-life balance initiatives.
• Flexible time-off program.
• Opportunity to work within a global, collaborative, and technology-driven environment.
• Exposure to revenue operations, business intelligence, Sales, and Customer Success analytics.
• Opportunities to improve data systems, reporting infrastructure, and operational processes.
• Inclusive workplace that values diverse perspectives, backgrounds, and experiences.
• Professional growth opportunities through increasing ownership across revenue and customer analytics.

Tagged as: Data Analysis