Financial Data Analyst

We are seeking experienced data analysts with a specialization in Automotive and Captive Lending Accounting / Financial Reporting to support the mapping of reporting data to multiple source systems. This role is essential for ensuring a comprehensive understanding of data topology, system architecture, and integration flows. Candidates should be adept at analyzing and documenting data mappings from the reporting layer to various legacy and modern platforms-including Mainframe technologies (VSAM, DB2) and cloud-based databases such as Snowflake. The ideal candidate will demonstrate strong knowledge of accounting principles, deep expertise in data structures, and practical experience with enterprise systems, all while ensuring documentation aligns with financial reporting standards.

Key Responsibilities :

• Collaborate with Accounting and DnA teams to understand the structure and content of financial schedules and their corresponding source systems.
• Apply deep knowledge of applications and the accounting framework to trace and map financial data elements back to their origin in source systems.
• Perform detailed data mapping between accounting schedules and source system fields, ensuring accuracy, consistency, and traceability.
• Document data lineage, including transformation logic and mapping rules, to support auditability and compliance.
• Assist in validating the accuracy and completeness of mapped data through reconciliation with financial reports and schedules.
• Support ongoing reconciliation efforts to ensure mapped data aligns with accounting outputs and reporting standards.

Qualifications :

• 8+ years of experience in financial data analysis
• Strong understanding of accounting principles, financial schedules, and source system structures.
• Proven experience in data mapping, data lineage documentation, and reconciliation between accounting outputs and source data.
• Proficiency in SQL, Excel, Databases (Snowflake, DB2) , and familiarity with SAP, Mainframe systems used in financial data environments.
• Excellent analytical, documentation, and communication skills, with the ability to work cross-functionally with Accounting, IT, and Data teams.