Senior Root Cause Analyst
Indexed description
This is a Hybrid position. Must have reliable transportation and live within a commutable distance to Dallas, TX
Responsibilities
- Leverage advanced analytics to mine, process, and analyze data using SQL, Python, R, SAS, Power BI, Excel, and other BI tools to support root cause and performance analysis
- Ensure timely, accurate, and well-documented RCA investigations involving customer complaints, dealer escalations, buybacks, and systemic issues
- Coordinate and lead the end-to-end RCA process, including intake, prioritization, and execution across key business areas
- Apply data mining, statistical analysis, and RCA methodologies to identify trends, anomalies, and key drivers impacting customer experience, operations, and compliance
- Build, validate, and maintain predictive models, dashboards, and reporting to monitor recurring issues, emerging risks, KPIs, and process gaps
- Present concise, actionable insights and recommendations to senior leadership to support data-driven decisions and corrective actions
- Analyze portfolio and operational trends, resolving data quality issues to ensure accurate, reliable, and timely insights
- Partner cross-functionally with external partners to validate data and implement corrective measures, including database and dataset support
- Maintain and protect confidential consumer information in compliance with company policies and regulatory requirements
- Perform other duties as assigned
- Minimum of five (5) years of experience in data/business analysis with a focus on root cause analysis and complex problem solving
- Strong proficiency in data tools (Excel, Power BI, SQL, Python, R, SAS or similar) and reporting Experience using data and statistical methods to drive insights and business decisions
- Excellent communication and stakeholder management skills, with the ability to present findings and influence outcomes
- Proven ability to manage complex issues with sound judgment and professionalism
- Detail-oriented, highly organized, and able to prioritize work in a fast-paced environment
- Prior auto finance, finance or captive industry experience
- Bachelor’s degree in mathematics, statistics, economics, computer science, finance, or other quantitative field, or equivalent experience
- Overtime required on an as needed basis
- Travel 0 - 10% as required on an as needed basis
Work Schedule
- 8 am – 5 pm / Monday – Friday with required in office days throughout the week
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