Senior Data Analyst - Fraud

Ally Bank•Charlotte, NC

1d•Hybrid

About The Position

The Senior Data Analyst, Fraud Data & Value Stream Analytics, supports the data foundation for fraud detection, decisioning, investigations, and customer protection, while developing Value Stream scorecards to measure business performance and outcomes. The analyst partners with Fraud, Product, Data, Technology, Architecture, Analytics, Risk, Compliance, Finance, and Operations teams to turn business needs into clear data requirements, trusted metrics, and actionable insights. The role maps data across business processes and source systems, assesses data quality and readiness, supports real-time and batch data initiatives, and maintains documentation to improve lineage, traceability, and reuse. It also defines and validates scorecard metrics, reconciles results to source data, produces recurring performance reporting, and explains trends and drivers to stakeholders. The position is described as an in-office role with a weekly hybrid schedule, located in Charlotte, NC, or Lewisville, TX; specific work requirements may be discussed during hiring and may change based on business needs.

Requirements

Bachelor’s degree in data analytics, information systems, computer science, statistics, mathematics, business, finance, or a related field, or equivalent work experience.
At least 3 years of experience in data analysis, business intelligence, performance measurement, scorecard reporting, data management, financial services, fraud, risk, or a related discipline.
Strong SQL skills and experience querying, joining, validating, and analyzing large datasets across multiple sources.
Experience with data profiling, mapping, data-quality assessment, reconciliation, root-cause analysis, metadata, lineage, metric governance, and requirements documentation.
Experience developing and maintaining scorecards, dashboards, metric definitions, and visual analyses using Snowflake, Power BI, and Excel.
Working knowledge of real-time streaming, batch integration, APIs, data models, operational data stores, analytical platforms, and cloud-based services.
Strong analytical thinking, attention to detail, problem-solving, documentation, and verbal and written communication skills.
Ability to work independently, manage competing priorities, and collaborate effectively with business, product, data, and technology partners.
Minimum qualifications specify a bachelor’s degree in Computer Science, Information Systems, Data Science, Data Analytics, or equivalent, and at least 3 years of relevant experience.

Nice To Haves

Experience with Python or another analytical programming language.
Experience with fraud, identity, authentication, payments, decisioning, investigations, or financial-crime data.

Responsibilities

Partner with business and product teams to understand fraud use cases, Value Stream objectives, business processes, decisions, and the data and measures needed 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 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.

Benefits

Paid time off starting at 20 days, 11 paid holidays, and 8 hours of volunteer time off yearly; amounts are prorated and programs vary by employment status and management level.
401(k) retirement savings plan with matching and company contributions.
Student loan pay-down and 529 educational savings assistance programs.
Tuition reimbursement.
Employee stock purchase plan.
Financial learning center and financial coach access.
Medical, dental, and vision insurance options.
Employee, spouse, and child life insurance.
Short- and long-term disability insurance.
Health Savings Account with employer contributions and Healthcare Flexible Spending Account.
Critical illness, accident, and hospital indemnity insurance.
Total well-being program.
Adoption, surrogacy, and fertility assistance.
Paid parental and caregiver leave.
Dependent Day Care FSA, backup child and adult/elder care days, and childcare discounts.
Employee Assistance Program.
Subsidized and discounted Weight Watchers program and other employee discount programs.
Potential travel allowances, relocation assistance, signing bonus, and/or equity depending on the role.
Annual incentive plan eligibility; incentives include bonuses based on personal and company goals.