Revenue Operations Analyst

<h3>Accountabilities:</h3><li>
<strong>Sales leadership and strategic insights:</strong>Partner with sales leaders to provide data-driven recommendations, forecasting support, and performance analysis that inform strategic and operational decisions.</li><li>
<strong>Sales performance management:</strong>Develop and maintain reporting frameworks, dashboards, scorecards, and key performance indicators to monitor sales attainment, individual and team productivity, and pipeline health.</li><li>
<strong>Productivity and prioritization:</strong>Design tools and frameworks that help sales representatives focus on high-value activities, prioritize accounts effectively, and improve efficiency throughout the sales funnel.</li><li>
<strong>Sales operations and administration:</strong>Support and optimize territory assignments, quota setting, incentive tracking, and CRM data management to reduce administrative workloads and improve reporting accuracy.</li><li>
<strong>Experimental design and analysis:</strong>Develop and evaluate A/B tests, pilot programs, and cohort analyses to measure the effectiveness of sales strategies, incentive programs, and operational changes.</li><li>
<strong>Scalable reporting and processes:</strong>Build repeatable workflows, dashboards, and reporting structures that enable effective management of growing sales teams and increasingly complex operations.</li><li>
<strong>Operational improvement:</strong>Identify bottlenecks, analyze workflow inefficiencies, and recommend practical improvements that strengthen sales effectiveness, resource allocation, and market coverage.</li><li>
<strong>Cross-functional collaboration:</strong>Work closely with Marketing, Finance, Product, and other relevant stakeholders to align revenue operations initiatives with broader business objectives.</li><li>
<strong>Data analysis and modeling:</strong>Extract, transform, analyze, and structure data to identify trends, uncover opportunities, and support evidence-based business decisions.</li><li>
<strong>AI and automation:</strong>Leverage AI-powered tools and automation solutions to streamline reporting, improve analytical efficiency, and scale operational insights.</li><li>
<strong>Continuous optimization:</strong>Monitor sales processes and performance trends, communicate findings to stakeholders, and recommend initiatives that support accountability and ongoing improvement.</li><h2>Requirements:</h2><li>Hold a bachelor's degree in Business, Economics, Statistics, Data Science, or a related discipline.</li><li>Have at least 2 years of experience in a highly analytical role within Sales Operations, Revenue Operations, business analysis, or a comparable function.</li><li>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.</li><li>Possess expert-level Microsoft Excel skills, including pivot tables, VLOOKUPs, advanced formulas, and other techniques for analyzing and organizing complex datasets.</li><li>Have strong hands-on experience with CRM platforms, particularly Salesforce, including report generation, dashboard development, and sales data management.</li><li>Demonstrate practical experience using AI or automation tools to improve workplace efficiency, streamline operational processes, or scale reporting and analytical capabilities.</li><li>Possess a solid understanding of sales processes, pipeline management, revenue performance indicators, sales productivity metrics, and forecasting principles.</li><li>Have strong analytical and moderately advanced technical skills, including the ability to query, transform, model, and interpret data to generate actionable business insights.</li><li>Communicate complex analytical findings clearly and effectively to non-technical stakeholders, translating data into practical recommendations and business strategies.</li><li>Demonstrate strategic thinking, attention to detail, and a structured approach to problem-solving, with the ability to connect analytical findings to broader business objectives.</li><li>Be comfortable working independently, managing multiple projects simultaneously, prioritizing competing demands, and adapting to a fast-paced environment.</li><li>Experience with SQL or Python for data extraction, transformation, and modeling is an asset.</li><li>Knowledge of lead scoring, account-based marketing (ABM), and customer lifecycle management is considered a plus.</li><li>Be willing to travel occasionally when required, approximately 2–5 times per year.</li><h2>Benefits:</h2><li>
<strong>Competitive compensation:</strong>Annual salary ranging from CAD $70,000 to CAD $95,000, depending on experience, qualifications, skills, and other relevant factors.</li><li>
<strong>Healthcare coverage:</strong>Medical, dental, and vision benefits to support employee well-being.</li><li>
<strong>Retirement savings:</strong>Employer-matched RRSP contributions for Canadian employees.</li><li>
<strong>Paid time off:</strong>Vacation, personal, and sick leave to support work-life balance.</li><li>
<strong>Employee assistance program:</strong>Access to resources and support designed to promote personal well-being.</li><li>
<strong>Community involvement:</strong>Employer-paid volunteer time through a dedicated service day.</li><li>
<strong>Professional development:</strong>Tuition reimbursement for eligible programs to support ongoing learning and career growth.</li><li>
<strong>Career advancement:</strong>Opportunities to expand technical and analytical expertise, share knowledge, and pursue internal promotions across a global organization.</li><li>
<strong>Remote flexibility:</strong>Work remotely from Canada while collaborating with cross-functional teams.</li><li>
<strong>Meaningful business impact:</strong>Contribute directly to sales performance, revenue growth, operational scalability, and data-driven decision-making.</li><li>
<strong>Innovation and skill development:</strong>Gain practical experience with business intelligence, AI-powered tools, automation, and advanced revenue operations strategies.</li>