Data Steward

About the Job: This role focuses on analyzing complex data sets to derive valuable business insights while ensuring the quality and integrity of data through stewardship practices and governance oversight. You will collaborate with cross-functional teams to understand data needs and contribute to the development of data strategies. Your responsibilities will also include data profiling, validation, and lifecycle analysis, as well as creating comprehensive documentation for data processes. You will support the implementation of data-related tools (e.g., Axon) and work closely with IT and business stakeholders to resolve data-related issues.

Responsibilities:

• Analyze complex data sets for valuable business insights.
• Collaborate with cross-functional teams to understand data requirements and contribute to data strategy development.
• Ensure data quality, reconciliation, and integrity through data stewardship practices and governance oversight.
• Perform data profiling and validation, resolving discrepancies and anomalies.
• Analyze the data life cycle and contribute to data model development, participating in designing data flows for reporting and analytics.
• Create and maintain comprehensive documentation for data processes, business glossaries, data dictionaries, and data lineage.
• Support the implementation and maintenance of data-related tools (e.g., Axon) for effective utilization.
• Collaborate with IT and business stakeholders to address data-related issues and enhance overall data quality.

Requirements:

• Banking domain experience.
• Familiarity with NDMO domains and hands-on implementation experience.
• Proficient in data analysis techniques and tools with a strong analytical mindset.
• Familiarity with data stewardship practices and governance principles.
• Experience in data profiling, validation, and discrepancy resolution.
• Knowledge of data modeling and ability to contribute to data flow design (data warehouse & Big Data).
• Strong documentation skills for maintaining data-related documentation.
• Ability to work collaboratively with cross-functional teams and communicate effectively.
• Understanding of data-related tools and technologies (e.g., Axon).
• Knowledge of data quality best practices with a commitment to ensuring data integrity.
• Proactive problem-solving skills for timely resolution of data issues.
• DAMA certification is a plus.