Understand business requirements and translate them into data requirements.
Analyze existing data structures and determine gaps, if any, to meet new requirements across all ongoing initiatives.
Actively participate in all ongoing initiatives related to the data and analytics ecosystem, including capital projects, operational projects, and proof of concept work.
Profile source data by retrieving and gathering raw data from various internal and external source systems, to identify trends, patterns, and quality issues.
Design, optimize, and maintain conceptual, logical, and physical data models to support efficient data management and analytics within the organization.
Collaborate with data architects, data engineers, report developers, AI/ML engineers, and business stakeholders/executives.
Map out data personas and consumer profiles to ensure a better understanding of customer needs.
