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Tier-1 brand, metro location, and mid-level data analyst role increase competition.
Core data governance skills transferable, but CFR fraud risk domain favors financial-services experience.
No explicit years but preferred GCP/SQL/Python and domain expectations create moderate filtering.
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Support Data Governance and Data Management initiatives within Credit and Fraud Risk to improve risk management and drive innovation.
Translate business needs into data governance and management solutions that enable commerce and reduce fraud risk.
Collaborate across teams to leverage analytical tools and techniques for effective data handling and decision-making.
Strong analytical and problem-solving skills required.
Good programming skills preferred; knowledge of GCP BigQuery, SQL, and Python is a plus.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to work independently on complex, unstructured initiatives and solve unstructured problems.
Experience or interest in credit and fraud risk domain data governance or data management roles.
Comfortable working with data technologies and programming languages such as SQL, Python, and cloud data platforms.
Ability to challenge existing processes and drive innovative data solutions within a team environment.