The company is seeking a Teradata Data Analyst to analyze business requirements and map them to the Teradata Financial Services Data Model (FSDM), perform data gap analysis, data mapping, and data lineage documentation, and collaborate with data engineering teams to design and implement ETL/ELT pipelines aligned with FSDM structures and standards. The role also involves designing and validating logical and physical data models for financial subject areas and ensuring compliance with regulatory requirements.
Requirements
- Strong expertise in Teradata Financial Services Data Model (FSDM).
- Hands-on experience with ETL/ELT pipelines and data warehousing concepts.
- Proficiency in data gap analysis, mapping, and lineage documentation.
- Experience in designing and validating logical and physical data models.
- Knowledge of regulatory compliance requirements in financial reporting.
- Strong documentation skills (data dictionaries, glossaries, metadata).
Responsibilities
- Analyze business requirements and map them to the Teradata Financial Services Data Model (FSDM).
- Perform data gap analysis, data mapping, and data lineage documentation across source and target systems.
- Work closely with data engineering teams to design and implement ETL/ELT pipelines aligned with FSDM structures and standards.
- Collaborate with data modelers to extend or customize the FSDM to meet specific business needs.
- Design and validate logical and physical data models for financial subject areas such as customer, account, loan, and transaction.
- Ensure compliance with regulatory requirements in all data solutions.
- Create and maintain data dictionaries, business glossaries, and metadata documentation to support governance initiatives.
Other
- Minimum 5 years of experience as a Data Analyst in financial services.
- Excellent communication and collaboration skills; ability to work with cross-functional teams.
- Self-starter with strong analytical and problem-solving abilities.
