Revenue Operations Analyst
- Work arrangement
- Remote
- Occupation
- Executive & General Management
- Location
- US
- Compensation
- Not disclosed
- Apply by
- April 10, 2027
About this role
<h3>Accountabilities:</h3><li>
<strong>Sales leadership and strategic support:</strong>Partner with sales leaders to provide data-driven insights, forecasting assistance, and performance analysis that inform strategic decisions and support revenue growth.</li><li>
<strong>Performance monitoring and reporting:</strong>Develop and maintain dashboards, scorecards, reporting frameworks, and key performance indicators to track sales attainment, individual and team productivity, and pipeline health.</li><li>
<strong>Sales productivity optimization:</strong>Create analytical frameworks and practical tools that help sales representatives prioritize high-value activities, focus on the most promising accounts, and improve efficiency throughout the sales funnel.</li><li>
<strong>Sales operations administration:</strong>Support and streamline territory assignments, quota setting, incentive tracking, and CRM data management to reduce administrative workloads and maintain accurate reporting.</li><li>
<strong>Experimentation and performance insights:</strong>Design and analyze A/B tests, pilot programs, and cohort analyses to evaluate sales strategies, incentive structures, and process improvements.</li><li>
<strong>Scalable processes and systems:</strong>Build repeatable reporting structures, dashboards, and operational workflows that support the effective management of larger and more complex sales teams.</li><li>
<strong>Operational excellence:</strong>Identify process bottlenecks, assess workflow inefficiencies, and recommend improvements that enhance sales effectiveness, productivity, and market coverage.</li><li>
<strong>Data analysis and modeling:</strong>Extract, transform, analyze, and model data to uncover trends, identify performance gaps, and generate actionable recommendations for business stakeholders.</li><li>
<strong>AI and automation initiatives:</strong>Apply AI-powered tools and automation technologies to streamline reporting, improve analytical workflows, and scale the delivery of business insights.</li><li>
<strong>Cross-functional collaboration:</strong>Work closely with Marketing, Finance, Product, and other relevant teams to align revenue operations initiatives with broader organizational priorities.</li><li>
<strong>Continuous improvement:</strong>Communicate findings clearly, promote accountability through performance reporting, and recommend data-backed initiatives that improve sales processes and business outcomes.</li><h2>Requirements:</h2><li>Hold a bachelor's degree in Business, Economics, Statistics, Data Science, or a related field.</li><li>Have at least 2 years of experience in a highly analytical role within Sales Operations, Revenue Operations, business analysis, or a similar function.</li><li>Demonstrate advanced proficiency with data visualization and business intelligence platforms such as Tableau, Domo, Power BI, or Looker, including the ability to create effective, decision-oriented dashboards.</li><li>Possess expert-level Microsoft Excel skills, including pivot tables, VLOOKUPs, advanced formulas, and complex data analysis techniques.</li><li>Have strong experience with CRM systems, particularly Salesforce, including report generation, dashboard creation, and sales data management.</li><li>Demonstrate hands-on experience using AI or automation tools to improve productivity, streamline operational processes, or scale reporting and analytical insights.</li><li>Possess a strong understanding of sales processes, revenue performance metrics, pipeline management, forecasting, and sales productivity measurement.</li><li>Have solid analytical and technical skills, including the ability to query, transform, organize, and model data to support business decisions.</li><li>Communicate complex analytical findings clearly and effectively, translating data into practical recommendations for non-technical stakeholders at different organizational levels.</li><li>Demonstrate strategic thinking, attention to detail, and strong problem-solving skills, with the ability to connect analytical insights to business objectives.</li><li>Be capable of working independently, managing multiple projects, prioritizing competing demands, and adapting to a fast-paced, evolving business environment.</li><li>Experience with SQL or Python for data extraction and modeling is considered an asset.</li><li>Familiarity with lead scoring, account-based marketing (ABM), and customer lifecycle management is an advantage.</li><li>Be willing to travel occasionally as required, approximately 2–5 times per year.</li><h2>Benefits:</h2><li>
<strong>Competitive compensation:</strong>Annual salary ranging from<strong>$70,000 to $95,000 USD</strong>, depending on experience, skills, qualifications, and other relevant factors.</li><li>
<strong>Comprehensive healthcare:</strong>Medical, dental, and vision coverage to support employee health and well-being.</li><li>
<strong>Health spending benefits:</strong>Employer contributions to Health Savings Accounts (HSA) and access to Flexible Spending Account (FSA) options, subject to eligibility.</li><li>
<strong>Retirement savings:</strong>Employer-matched 401(k) plan with immediate vesting.</li><li>
<strong>Paid time off:</strong>Vacation, personal, and sick leave to support work-life balance.</li><li>
<strong>Paid parental leave:</strong>Maternity and paternity leave benefits for eligible employees.</li><li>
<strong>Financial protection:</strong>Employer-paid short-term disability, long-term disability, life insurance, and accidental death and dismemberment (AD&D) coverage, subject to eligibility.</li><li>
<strong>Employee assistance:</strong>Access to a comprehensive Employee Assistance Program.</li><li>
<strong>Community engagement:</strong>Employer-paid volunteer time through a dedicated service day.</li><li>
<strong>Professional development:</strong>Tuition reimbursement for eligible educational programs and opportunities to expand technical and analytical expertise.</li><li>
<strong>Career advancement:</strong>Opportunities for internal promotions, diverse career paths, and professional growth within a global, publicly traded organization.</li><li>
<strong>Remote flexibility:</strong>Work remotely from the United States while collaborating with cross-functional teams.</li><li>
<strong>Innovation and impact:</strong>Gain hands-on experience with analytics, AI, automation, and scalable revenue operations initiatives that directly support business performance.</li>