Requirements

Expected technologies

Tableau

Power BI

Collibra

Informatica

Alation

Optional technologies

AxiomSL

Wolters Kluwer

AWS

Azure

GCP

Our requirements

• Bachelor’s degree in computer science, Information Systems, Finance, or a related field.
• 5+ years of experience in data analysis, data governance, or data architecture within a financial services environment.
• Strong understanding of data lineage concepts, data modeling, and ETL processes.
• Experience with data visualization and lineage tools (e.g., Tableau, Power BI, Collibra, Informatica, Alation).
• Familiarity with U.S. regulatory reporting frameworks and requirements.
• Excellent analytical, communication, and documentation skills.
• Ability to work independently and collaboratively in a fast-paced, regulated environment.

Optional

• Experience with regulatory reporting platforms or tools (e.g., AxiomSL, Wolters Kluwer).
• Knowledge of data governance frameworks (e.g., DAMA-DMBOK).
• Exposure to cloud data platforms (e.g., AWS, Azure, GCP).

Your responsibilities

• Data Source Identification: Collaborate with business and technical stakeholders to identify and catalog data sources across the enterprise.
• Source-to-Target Mapping: Develop and maintain comprehensive source-to-target documentation, ensuring traceability of data elements from origin to consumption.
• Process and Data Analysis: Analyze data flows, business processes, and system interactions to understand data transformations and dependencies.
• Data Visualization: Utilize data visualization tools (e.g., Tableau, Power BI, Collibra, Alteryx) to present lineage and data flow insights to technical and non-technical audiences.
• Regulatory Reporting Support: Partner with regulatory reporting teams to ensure data lineage supports compliance with U.S. regulatory requirements (e.g., FR Y-9C, FFIEC 031/041, CCAR).
• Metadata Management: Contribute to enterprise metadata initiatives by documenting business and technical metadata related to data lineage.
• Quality Assurance: Validate lineage documentation through data profiling, reconciliation, and stakeholder reviews.