Revenue Operations Analyst

About the company

• Partner company helping sales teams achieve scalable growth through data-driven insights and operational excellence.

Responsibilities

• Partner with sales leaders to provide data-driven recommendations, forecasting support, and performance analysis.
• Develop and maintain reporting frameworks, dashboards, scorecards, and key performance indicators.
• Design tools and frameworks that help sales representatives focus on high-value activities.
• Support and optimize territory assignments, quota setting, incentive tracking, and CRM data management.
• Develop and evaluate A/B tests, pilot programs, and cohort analyses.
• Build repeatable workflows, dashboards, and reporting structures.
• Identify bottlenecks, analyze workflow inefficiencies, and recommend practical improvements.
• Work closely with Marketing, Finance, Product, and other stakeholders.
• Extract, transform, analyze, and structure data to identify trends.
• Leverage AI-powered tools and automation solutions to streamline reporting.
• Monitor sales processes and performance trends, communicate findings, and recommend initiatives.

Requirements

• Bachelor's degree in Business, Economics, Statistics, Data Science, or a related discipline.
• At least 2 years of experience in a highly analytical role within Sales Operations, Revenue Operations, business analysis, or comparable.
• Advanced proficiency with data visualization and business intelligence tools such as Tableau, Domo, Power BI, or Looker.
• Expert-level Microsoft Excel skills, including pivot tables, VLOOKUPs, advanced formulas.
• Strong hands-on experience with CRM platforms, particularly Salesforce.
• Practical experience using AI or automation tools.
• Solid understanding of sales processes, pipeline management, revenue performance indicators, sales productivity metrics, and forecasting principles.
• Strong analytical and moderately advanced technical skills, including ability to query, transform, model, and interpret data.
• Communicate complex analytical findings clearly to non-technical stakeholders.
• Strategic thinking, attention to detail, and a structured approach to problem-solving.
• Comfortable working independently and managing multiple projects.
• Experience with SQL or Python is an asset.
• Knowledge of lead scoring, account-based marketing (ABM), and customer lifecycle management is a plus.
• Willingness to travel occasionally, approximately 2–5 times per year.

Conditions

• Annual salary ranging from CAD $70,000 to CAD $95,000.
• Medical, dental, and vision benefits.
• Employer-matched RRSP contributions for Canadian employees.
• Paid time off: vacation, personal, and sick leave.
• Employee assistance program.