Revenue Operations Analyst optimizing sales performance for OPENLANE’s digital used-vehicle marketplace. Building dashboards, forecasting, CRM processes, and experiments for scalable growth.
Responsibilities
Partner with Sales Leadership as a trusted advisor, providing data-driven insights, forecasting support, and performance analysis
Build and maintain reporting frameworks, scorecards, and performance metrics tracking attainment, productivity, and pipeline health
Develop frameworks and tools to help representatives prioritize high-value activities and accounts and increase funnel efficiency
Support and streamline sales administrative processes, including territory assignments, quota setting, incentive tracking, and CRM hygiene
Apply A/B tests, pilots, and cohort analysis to evaluate sales strategies, incentive programs, and process changes
Design repeatable processes, dashboards, and reporting structures for larger and more complex sales teams
Identify bottlenecks, streamline workflows, and recommend improvements to increase sales effectiveness and coverage
Collaborate with Marketing, Finance, and Product teams to align revenue operations initiatives with broader business goals
Requirements
Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field
2+ years of experience in a highly analytical role within Sales Operations, Revenue Operations, Business Analyst, or a similar function
Advanced proficiency in data visualization tools (e.g., Tableau, Domo, Power BI, Looker) and creating impactful dashboards
Expert-level proficiency in Microsoft Excel (pivot tables, VLOOKUPs, advanced formulas)
Strong experience with CRM systems, particularly Salesforce, including report generation and dashboard creation
Hands-on experience leveraging AI/automation tools in the workplace to improve efficiency, streamline processes, or scale reporting/insights
Strong understanding of sales metrics and sales processes
Exceptional communication skills with the ability to translate complex data into actionable insights for non-technical stakeholders
Proven ability to work independently, manage multiple projects, prioritize effectively, and thrive 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
Knowledge of 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)
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
Ability to travel when required (2-5 times per year)
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