Revenue Management Analyst

**Who We Are:** At OPENLANE we make wholesale easy so our customers can be more successful. **We’re a technology company** building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles. **We’re a data company** helping customers buy and sell smarter with clear, actionable insights they can understand and use. **And we’re an innovation company** accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit. **Our Values:** **Driven Waybuilders**. We pursue challenges that inspire us to build, create, and innovate. **Relentless Curiosity.** We seek to understand and improve our customers’ experience. **Smart Risk-Taking.** We transform risk into progress through data, experience, and intuition. **Fearless Ownership.** We deliver what we promise and learn along the way.   **We’re Looking For:** We are seeking a Revenue Management Analyst with experience in business intelligence, financial modeling, and data visualization. You will be part of the Merchandizing & Revenue Management team responsible for analyzing and tracking key business results to optimize revenue outcomes. You will be involved in developing financial models, reporting/visualization, and driving insights through analytics. The ideal candidate will have 2-5 years of experience in data analysis, reporting, and business intelligence tools. **You Will:** • Track & analyze Customer Lifetime Value and retention by dealer segments and cohorts across business units • Develop input/output business result tracking models to identify performance gaps and predict future sales performance results • Examine complex business problems through data analysis and identify possible solutions • Plan, execute, and analyze campaign/promotion event data to drive better Share of Wallet (SoW) or Active Users (MAU) • Formalize analytics findings and track results with sustainable reports and visualizations • Create financial and decision-making models and prepare ad-hoc analyses to support critical initiatives • Work closely with management to prioritize business and information needs • Manage projects to coordinate efforts and mitigate risks to achieving performance targets • Define and implement new process improvement opportunities including process and reporting automation **Must Have’s:** * Bachelor’s Degree in Mathematics, Economics, Computer Science, Information Management, Statistics or other Quantitative Degree (Finance, etc.) required * 2-5 years of experience as a data analyst/statistical analyst/model developer or reporting analyst * Demonstrated experience managing small to medium projects * Experience with process automation tools (Power Automate, UiPath, Zapier, Kissflow, Appian, etc.) * Strong knowledge of data models, simulation techniques, financial modeling * Strong understanding of and experience with reporting packages (Tableau, Power BI, DOMO, Looker, etc), and/or databases (SQL, Snowflake, etc.) * Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy * Adept at queries, report writing and accurately/clearly/concisely reporting findings **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 of** Annual Salary: $75,000.00 - $85,000.00 (Depending on experience, skill set, qualifications, and other relevant factors.)