Business Intelligence Analyst

5 days ago


Carmel, Indiana, United States OPENLANE Full time
Job Title: Business Intelligence Analyst

About Us:
OPENLANE is a technology company that makes wholesale easy for our customers. We're building the world's most advanced digital marketplace for used vehicles and helping customers buy and sell smarter with clear, actionable insights.

Our Values:
We're driven by curiosity, collaboration, and an entrepreneurial spirit. We pursue challenges, seek to understand and improve our customers' experience, and transform risk into progress through data and experience.

Job Summary:
We're seeking a results-oriented Business Intelligence Analyst to join our Merchandizing & Revenue Management Team. As a Business Intelligence Analyst, you will be vital in monitoring key business results, developing financial & input/output models, reporting/data visualization, and associated analytics to support our operations.

Key Responsibilities:
1. Track and analyze Customer Lifetime Value and retention by dealer segments and cohorts across business units.
2. Develop input/output business result tracking model to identify performance gaps and predict future sales performance results.
3. Examine complex business problems through data analysis and identify possible solutions.
4. Plan, execute, and analyze campaign/promotion event data to drive better Share of Wallet (SoW) or Active Users (MAU).
5. Formalize the analytics findings and track results with easy-to-consume sustainable visualization/reports.
6. Create financial and decision-making models and prepare ad-hoc analyses to support critical initiatives.
7. Work closely with management to prioritize business and information needs and define new process improvement opportunities.

Requirements:
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. Strong knowledge in data models, simulation techniques, financial modeling, and experience with reporting packages (Tableau, Power BI, DOMO, Looker, etc), and/or databases (SQL, etc.).

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