Revenue Management Analyst

OPENLANE; Oregon; Hybrid; USD 75,000 - 85,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401K with company match

Paid vacation and sick time

Parental leave (US)

Job summary

OPENLANE is seeking a Revenue Management Analyst to join the Merchandizing & Revenue Management team. You will model financial outcomes, build dashboards, and drive insights to optimize revenue across dealers and cohorts.

The role emphasizes BI, financial modeling, and data visualization with 2–5 years of relevant experience. You will collaborate with management to prioritize metrics, automate processes, and deliver sustainable reports.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 2–5 years as data analyst/statistical analyst/model developer or reporting analyst.
• Experience managing small to mid-size projects.
• Experience with process automation tools (Power Automate, UiPath, Zapier, Kissflow, Appian).
• Strong knowledge of data models, simulations, and financial modeling.
• Strong skills with reporting tools (Tableau, Power BI, DOMO, Looker) and databases (SQL, Snowflake).
• Analytical skills to collect, organize, analyze, and report large data sets.

Responsibilities

• Track and analyze customer lifetime value and retention by dealer segments and cohorts.
• Develop input/output tracking models to identify performance gaps and predict sales results.
• Analyze complex business problems and identify solutions.
• Plan and analyze campaign data to improve share of wallet or MAU.
• Create reports and visualizations to communicate analytics findings.
• Collaborate with management to prioritize information needs and actions.
• Manage projects and coordinate cross-functional efforts to hit targets.
• Identify process improvements and automation opportunities.

Skills

Data analysis

SQL

Project management

Process automation

Customer Lifetime Value

Education

Bachelor's degree in Mathematics, Economics, CS, Statistics or related quantitative field

Tools

Tableau

Power BI

DOMO

Looker

Snowflake

Job description

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

Compensation Range of Annual Salary: $75,000.00 - $85,000.00(Depending on experience, skill set, qualifications, and other relevant factors.)