What are the responsibilities and job description for the Data Analyst Automotive & Captive Lending_Plano, TX (Need Locals_Inperson Interview) position at Sripen?
Job Details
Key Responsibilities:
- Analyze and document data flows between customer-facing forms, correspondence templates, and enterprise systems such as Salesforce (CRM), Snowflake (Data Platform), Mainframe DB2/VSAM (Servicing Systems), and Document Management Systems
- Reverse-engineer legacy forms and communications to uncover undocumented data dependencies and embedded logic
- Map form fields to Common Data Elements (CDEs), ensuring consistency and alignment across platforms
- Conduct data profiling and validation to confirm the accuracy, completeness, and reliability of mapped elements
- Maintain and update metadata repositories, including data dictionaries and lineage documentation
- Execute detailed data mapping between source systems and Adobe forms, ensuring mappings are reviewed and validated by business stakeholders
- Document data lineage, transformation logic, and mapping rules to support auditability and regulatory compliance
- Perform rigorous data validation and quality checks to ensure accurate mapping and output
- Support reconciliation efforts to verify the completeness and correctness of mapped data
- Ensure all data elements used in customer correspondence adhere to privacy regulations such as GDPR and CCPA
- Collaborate closely with Data Stewardship, Product Owners, Legal, Customer Experience, and Dealer Experience teams to align data usage with strategic business objectives
Qualifications:
- Minimum of 6 years of hands-on experience in data analysis, with a strong focus on enterprise data environments
- Solid understanding of automotive finance products, including retail loans, leases, lease-end processes, collections, and bankruptcy workflows
- Prior experience in automotive captive finance or consumer lending environments
- Demonstrated expertise in data mapping, documenting data lineage, and reconciling data across core systems and dynamic, customer-facing forms
- Proficient in SQL, Excel, and working with databases such as Snowflake and DB2; familiarity with mainframe systems commonly used in financial services
- Exceptional analytical, documentation, and communication skills, with the ability to collaborate effectively across teams including Customer Experience and Dealer Experience
Thanks
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