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OPENLANE

Senior Analyst, Revenue Management

Reposted 21 Days Ago
Remote
Hiring Remotely in United States
90K-110K Annually
Senior level
Remote
Hiring Remotely in United States
90K-110K Annually
Senior level
Lead revenue and pricing optimization by analyzing pricing, customer behavior, unit economics, and marketplace dynamics; design experiments (A/B tests, cohorts), monitor KPIs, detect revenue leakage, and partner cross-functionally to deliver data-driven recommendations that increase profitability and engagement.
The summary above was generated by AI

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 strategic and analytical Senior Analyst, Revenue Management to help shape pricing and revenue optimization strategies that maximize profitability and deliver sustainable growth. In this role, you will leverage data to identify opportunities that improve unit economics, customer value, and marketplace performance. You will partner with cross-functional teams to develop recommendations, evaluate strategic initiatives, and measure business impact. The ideal candidate is a curious problem solver who enjoys working with complex datasets, thrives in ambiguity, and turns data into actionable business decisions.

You Are: 

  • Data-Driven: You are passionate about uncovering insights, building models, and guiding revenue maximising strategies that drive measurable results.

  • Adaptable: You thrive in fast-paced environments, pivoting strategies based on market shifts and feedback.

  • Solution-Oriented: You are an independent thinker who takes the initiative to identify the "why" behind the numbers and propose actionable improvements.

You Will:

  • Drive Revenue Optimization: Analyze pricing, customer behavior, and marketplace dynamics to identify opportunities that increase revenue and profitability. 

  • Improve Unit Economics: Evaluate key drivers of transaction profitability, including pricing realization, discounting, ancillary product performance, and contribution margins, to identify opportunities to improve financial performance.

  • Execute Customer & Market Analysis: Perform competitive benchmarking, customer segmentation, and market research to identify emerging growth opportunities. 

  • Expand Cross-Sell Strategy: Identify optimal triggers to increase usage of ancillary services (e.g., transport, guarantee, financing) to maximize total revenue per transaction.

  • Enhance Retention & Engagement: Analyze acquisition and retention metrics to implement best practices that drive dealer activation and long-term platform engagement. 

  • Performance & Risk Management: Proactively monitor KPIs and identify revenue leakage to mitigate financial risks and capture emerging growth opportunities.

  • Partner Cross-Functionally: Collaborate with cross-functional stakeholders to evaluate opportunities, align on priorities, and drive data-informed decisions that support revenue growth and business performance.

  • Deliver Actionable Insights: Leverage advanced analytics and BI tools to synthesize complex datasets into clear, actionable strategies.

  • Design & Execute Experiments: Apply experimental design (A/B testing, pilots, and cohort analysis) to evaluate the effectiveness of new revenue strategies.

 

Must Have’s:

  • Bachelor’s degree in Business, Economics, Data Science or a related field (MBA or Master’s degree preferred).

  • 5-7 years of experience in Revenue Management, Pricing Strategy, Business Analytics, Strategy & Operations, Management Consulting, or a related analytical function. 

  • Strong SQL skills and experience using BI platforms such as Domo, Tableau, Looker, or Power BI.

  • Experience with financial modeling, forecasting, pricing analysis, experimentation, or statistical analysis.

  • Demonstrated ability to translate complex analyses into actionable business recommendations.

  • Excellent communication and stakeholder management skills, with experience presenting to senior leaders.

  • High ownership, intellectual curiosity, and comfort working in a fast-paced, data-driven environment.

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: $90,000.00 - $110,000.00 USD

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

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