Senior Data Analyst - Fraud

Location: Charlotte, NC

Ally and Your Career

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We love this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?

Work Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

The Opportunity

In office role with weekly hybrid schedule. Ally work locations Charlotte NC or Lewisville TX

The Senior Data Analyst, Fraud Data & Value Stream Analytics will support two connected priorities: building the data foundation that powers fraud detection, decisioning, investigations, and customer protection, and developing Value Stream scorecards that measure business performance and outcomes. This role will partner with Fraud, Product, Data, Technology, Architecture, Analytics, Risk, Compliance, Finance, and Operations teams to translate business needs into clear data requirements, trusted metrics, and actionable insights.

The Analyst will map data across business processes and source systems, assess data quality and readiness, support real-time and batch data initiatives, and maintain documentation that improves lineage, traceability, and reuse. The role will also define and validate scorecard metrics, reconcile results to source data, produce recurring performance reporting, and explain trends and drivers to stakeholders. It is well suited for a curious, detail-oriented analyst who can connect business problems to data, communicate findings clearly, and work across teams to move complex initiatives forward.

The Work Itself

Key Responsibilities

• Partner with business and product teams to understand fraud use cases, Value Stream objectives, business processes, decisions, and the data and measures required to support them.
• Translate business needs into data requirements, source-to-target mappings, metric definitions, calculation rules, acceptance criteria, and analytical approaches.
• Profile and analyze large, complex datasets to assess availability, completeness, accuracy, timeliness, consistency, and fitness for use.
• Develop and maintain Value Stream scorecards, dashboards, metric dictionaries, calculation logic, targets, and recurring performance reporting.
• Reconcile scorecard results to authoritative sources, investigate variances, document methodology and lineage, and clearly explain trends, drivers, limitations, and changes.
• Maintain fraud data inventories, metadata, ownership, quality measures, lineage, and traceability across source and consuming systems.
• Support real-time and batch data delivery through requirements validation, testing, reconciliation, production validation, and ongoing monitoring.
• Communicate findings, risks, decisions, and recommendations to technical and nontechnical audiences while managing multiple priorities in a collaborative environment.
• Additional Locations: Lewisville, TX