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 an Analyst, Revenue Management 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, Finance, or other quantitative field
• 2-5 years of experience as a data/statistical analyst, model developer, or reporting analyst
• 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, and financial modeling
• Proficiency with reporting tools (Tableau, Power BI, DOMO, Looker) and databases (SQL, Snowflake)
• Strong analytical skills with ability to collect, organize, and interpret complex data accurately
• Experience writing queries and producing clear, concise reports


Nice to Have’s:
• Familiarity with advanced statistical modeling techniques
• Experience in SaaS or automotive/remarketing industries
• Exposure to machine learning or predictive 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 of

(Depending on experience, skill set, qualifications, and other relevant factors.)