Revenue Operations Analyst

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Collaborate with Sales Leadership as a trusted advisor, offering data-driven insights, forecasting assistance, and performance evaluations.

• Create and uphold reporting frameworks, scorecards, and performance metrics to monitor attainment, productivity, and pipeline health.

• Design frameworks and tools that enable representatives to focus on high-value activities and accounts, enhancing funnel efficiency.

• Facilitate and optimize sales administrative processes, including territory assignments, quota establishment, incentive tracking, and CRM maintenance.

• Implement A/B tests, pilot programs, and cohort analyses to assess sales strategies, incentive initiatives, and process modifications.

• Construct repeatable processes, dashboards, and reporting structures tailored for larger and more intricate sales teams.

• Detect bottlenecks, streamline workflows, and propose enhancements to boost sales effectiveness and coverage.

• Work alongside Marketing, Finance, and Product teams to synchronize revenue operations efforts with broader business objectives.

⛳️ Requirements

• Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related discipline.

• More than 2 years of experience in a highly analytical position within Sales Operations, Revenue Operations, Business Analysis, or a similar role.

• Advanced expertise in data visualization tools (e.g., Tableau, Domo, Power BI, Looker) and developing impactful dashboards.

• Proficient in Microsoft Excel at an expert level (including pivot tables, VLOOKUPs, and advanced formulas).

• Significant experience with CRM systems, especially Salesforce, involving report generation and dashboard development.

• Practical experience utilizing AI/automation tools in the workplace to enhance efficiency, streamline processes, or scale reporting/insights.

• Strong comprehension of sales metrics and sales processes.

• Excellent communication skills with the capability to convert complex data into actionable insights for non-technical stakeholders.

• Demonstrated ability to work autonomously, manage multiple projects, prioritize effectively, and excel in a fast-paced environment.

• Strong analytical and moderate technical skills for data querying, transformation, and modeling.

• Experience with SQL or Python for data extraction and modeling.

• Familiarity with lead scoring, account-based marketing (ABM), and customer lifecycle management.

🏝️ Benefits

• 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).

• Comprehensive Employee Assistance Program.

• Employer-paid Leap into Service Day for volunteering opportunities.

• Tuition Reimbursement for eligible programs.

• Opportunities to enhance your skill set and share your expertise within a publicly traded, global organization.

• Company culture that promotes internal promotions, diverse career paths, and meaningful advancement.

• Ability to travel as needed (2-5 times per year).