**Description:** **Education:** Bachelor’s degree in Business Administration, Economics, Statistics, Data Science, Engineering, Information Systems, or related fields. **Experience:** Data analysis experience; experience in F\&I, fintech, insurance, or banking is a plus. Experience with BI tools (Power BI) and building interactive dashboards. Knowledge of statistics and experimentation (A/B testing, regression models, classification). Understanding of credit products, insurance, warranties, interest rates, margins, pricing, and risk. Familiarity with data governance, data quality, and documentation. Ability to interpret data, generate actionable insights, and communicate clearly. Collect, clean, and transform data from diverse sources (ERP, CRM, contract platforms, insurance systems, SQL/NoSQL databases, APIs). Build and maintain models, dashboards, and reports supporting business decisions in F\&I (e.g., product adoption, churn, conversion, credit approval, claims, premiums, commissions, margins). Develop relevant metrics and KPIs for F\&I, such as approval rate, cycle time, return rate, cost per contract, CAC, LTV, ROAS, claim frequency, probability of default, fraud. Analyze performance of financial products (credit, insurance, warranties) and their impact on profitability and customer experience. Ensure data governance, data quality, and documentation (data dictionaries, quality metrics, lineage). Collaborate with Product, Operations, Compliance, Marketing, and Sales teams to prioritize initiatives. Automate ETL/ELT processes, schedule jobs, and monitor pipelines. Support internal/external audits and regulatory compliance applicable to the F\&I sector. Present insights clearly to non-technical stakeholders 2511300202181896075