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Revenue Operations Analyst

Job in Burlington, Ontario, A9A, Canada
Listing for: Jobgether SRL
Full Time position
Listed on 2026-10-12
Job specializations:
  • Business
    Business Intelligence, Business Analyst, Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 70000 - 95000 CAD Yearly CAD 70000.00 95000.00 YEAR
Job Description & How to Apply Below

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Revenue Operations Analyst based in Canada.

As a Revenue Operations Analyst, you will play a key role in helping sales teams achieve scalable growth through data-driven insights, performance analysis, and operational excellence. You will partner with sales leadership to optimize productivity, improve forecasting, and strengthen decision-making across the revenue organization. By developing dashboards, performance metrics, and reporting frameworks, you will turn complex data into actionable strategies that drive measurable business results.

You will also use experimentation, automation, and AI-powered tools to streamline workflows and improve sales effectiveness. Working cross-functionally with Sales, Marketing, Finance, and Product teams, you will help build scalable processes that support an expanding organization. This remote opportunity is ideal for an analytical and proactive professional who enjoys solving business challenges, improving systems, and making a tangible impact on revenue performance.

Accountabilities:
  • Sales leadership and strategic insights: Partner with sales leaders to provide data-driven recommendations, forecasting support, and performance analysis that inform strategic and operational decisions.
  • Sales performance management: Develop and maintain reporting frameworks, dashboards, scorecards, and key performance indicators to monitor sales attainment, individual and team productivity, and pipeline health.
  • Productivity and prioritization: Design tools and frameworks that help sales representatives focus on high-value activities, prioritize accounts effectively, and improve efficiency throughout the sales funnel.
  • Sales operations and administration: Support and optimize territory assignments, quota setting, incentive tracking, and CRM data management to reduce administrative workloads and improve reporting accuracy.
  • Experimental design and analysis: Develop and evaluate A/B tests, pilot programs, and cohort analyses to measure the effectiveness of sales strategies, incentive programs, and operational changes.
  • Scalable reporting and processes: Build repeatable workflows, dashboards, and reporting structures that enable effective management of growing sales teams and increasingly complex operations.
  • Operational improvement: Identify bottlenecks, analyze workflow inefficiencies, and recommend practical improvements that strengthen sales effectiveness, resource allocation, and market coverage.
  • Cross-functional collaboration: Work closely with Marketing, Finance, Product, and other relevant stakeholders to align revenue operations initiatives with broader business objectives.
  • Data analysis and modeling: Extract, transform, analyze, and structure data to identify trends, uncover opportunities, and support evidence-based business decisions.
  • AI and automation: Leverage AI-powered tools and automation solutions to streamline reporting, improve analytical efficiency, and scale operational insights.
  • Continuous optimization: Monitor sales processes and performance trends, communicate findings to stakeholders, and recommend initiatives that support accountability and ongoing improvement.
Requirements:
  • Hold a bachelor's degree in Business, Economics, Statistics, Data Science, or a related discipline.
  • Have at least 2 years of experience in a highly analytical role within Sales Operations, Revenue Operations, business analysis, or a comparable function.
  • Demonstrate advanced proficiency with data visualization and business intelligence tools such as Tableau, Domo, Power BI, or Looker, including the ability to build clear, impactful dashboards.
  • Possess expert-level…
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