We're Looking For:We are seeking a highly analytical and solutions-oriented Revenue Operations Analyst to partner with our Sales Leaders in driving scalable growth. This role will leverage data insights, experimental design, and structured processes to help manage expanding sales teams, improve productivity, and ensure the organization is equipped to execute with efficiency.
The ideal candidate is both a critical thinker and a builder-comfortable with analytics, systems, and experimentation-who can translate insights into operational strategies that drive revenue performance.
You Will:- Partner with Sales Leadership:Act as a trusted advisor to sales leaders, providing data-driven insights, forecasting support, and performance analysis to guide decision-making.
- Sales Team Performance Management:Build and maintain reporting frameworks, scorecards, and performance metrics to track attainment, productivity, and pipeline health across teams and individuals. Provide insights that drive accountability and continuous improvement.
- Sales Productivity & Prioritization:Develop frameworks and tools to help reps prioritize high-value activities, focus on the right accounts, and increase efficiency across the funnel.
- Sales Admin Management: Support and streamline sales administrative processes (territory assignments, quota setting, incentive tracking, CRM hygiene) to reduce time spent on non-selling activities and ensure accuracy in reporting.
- Experimental Design & Insights: Apply the science of testing and control (A/B tests, pilots, cohort analysis) to evaluate sales strategies, incentive programs, and process changes.
- Scalability & Structure: Design repeatable processes, dashboards, and reporting structures that enable management of larger and more complex sales teams.
- Operational Excellence:Identify bottlenecks, streamline workflows, and recommend improvements to increase sales effectiveness and coverage.
- Cross-Functional Collaboration:Work closely with Marketing, Finance, and Product teams to align revenue operations initiatives with broader business goals.
Must Have's:- Bachelor's degree in Business, Economics, Data Science, Finance or related field (Master's preferred).
- 1 year+ of experience in Sales Operations, Revenue Operations, Business Analytics, or a related field.
- Strong analytical and technical skills, including proficiency in SQL and Python for data querying, transformation, and modeling.
- Experience with data visualization and BI tools (e.g., Tableau, Domo, PowerBI, Looker).
- Familiarity with CRM systems (Salesforce or equivalent) and sales process management.
- Hands-on experience leveraging AI/automation tools in the workplace to improve efficiency, streamline processes, or scale reporting/insights.
- Knowledge of experimental design and statistical analysis is a strong plus.
- Exceptional communication skills with the ability to translate complex data into actionable insights for non-technical stakeholders.
- Proven ability to manage multiple projects, prioritize effectively, and thrive in a fast-paced environment.
- Strong analytical and moderate technical skills, including SQL and Python for data querying, transformation, and modeling.
What We Offer: - Competitive pay
- Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)
- Immediately vested 401K (US) or RRSP (Canada) with company match
- Paid Vacation, Personal, and Sick Time
- Paid maternity and paternity leave (US)
- Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US)
- Robust Employee Assistance Program
- Employer paid Leap into Service Day to volunteer
- Tuition Reimbursement for eligible programs
- Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization
- Company culture of internal promotions, diverse career paths, and meaningful advancement
Sound like a match? Apply Now - We can't wait to hear from you!Compensation Range ofAnnual Salary: $70,000.00 - $95,000.00
(Depending on experience, skill set, qualifications, and other relevant factors.)
