Revenue Management Analyst

OPENLANE-posted 3 months ago

$70,000 - $95,000/Yr

Full-time • Entry Level

1,001-5,000 employees

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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.

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

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

Familiarity with advanced statistical modeling techniques
Experience in SaaS or automotive/remarketing industries
Exposure to machine learning or predictive modeling

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

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