Rent-A-Center Corporate

Operation Analyst (Fleet)

JOB PURPOSE: The Operation (Fleet) Analyst will focus on data management and analysis to support fleet management in the RAC line of business. In this role, he/she will gather data from vendors and multiple internal databases for the purposes of optimizing fleet operations, gleaning business insights and ad-hoc analysis.  He/she will also monitor, refresh, and update dashboards as assigned and will help business units to make more effective decisions in the areas of store operations, fleet management and safety customer acceptance, pricing, and fraud prevention.

KEY RESPONSIBILITIES:

• Derive business insights and oversee the building of data products from the fleet operations and communicate relevant findings to management and stake holders.
• Serve as subject matter expert (SME) for business data and analytics in support of business initiatives around fleeting operations and optimizations.  Act as a liaison between data and business, understanding and being able to speak the terms of each.
• Create the necessary reporting and scorecards to track changes and performance of fleet operations.
• Perform complex analysis of data at a very granular level and present relevant findings in business terms to business partners.
• Coordinates and manages data needs, issues, and requirements with Data Warehouse team and other holders of data.
• Evaluate data from third party data source for accuracy, stability, and bias during the data gathering and analysis process.
• Remain current on advanced statistical techniques in order to enable consistent improvements in business decisions.
• Partner closely with members of the business intelligence and analytics team to deliver accurate and timely results.

 JOB REQUIREMENTS:

• Minimum Bachelor's degree in a quantitative field (e.g., Mathematics, Economics, Statistics, Business Analytics, etc.), Master’s preferred.
• Minimum 2 years professional experience in analyst role. Or minimum 1-year professional experience with master’s degree.
• Proficient with SQL, Snowflake preferred.
• Experience with creating and maintaining reports in Microsoft Power BI preferred.
• Experience with Python preferred.
• Experience in Financial Services, Fraud Detection, or Risk Management preferred.
• Highly detail-oriented; works with the mantra that the quality of his/her work reflects strongly on his/her personal “brand.”
• Highly organized with proven ability to multi-task.
• Capable of being objective and giving/taking constructive feedback.
• Capable of contributing independent analysis and researching appropriate statistical methods for assigned projects.

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