Senior Data Analyst - Fraud
About The Position
The Senior Data Analyst, Fraud Data & Value Stream Analytics supports the development of data foundations for fraud detection, decisioning, investigations, and customer protection, while building Value Stream scorecards to measure business performance and outcomes. The role partners with Fraud, Product, Data, Technology, Architecture, Analytics, Risk, Compliance, Finance, and Operations teams to turn business needs into data requirements, trusted metrics, and actionable insights. The Analyst 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. The role 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 based in Charlotte, NC, or Lewisville, TX, with an in-office role and weekly hybrid schedule; specific work requirements may be discussed during hiring and can change.
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 qualification: Bachelor’s degree in Computer Science, Information Systems, Data Science, Data Analytics, or equivalent.
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
- Annual incentive plan and pay-for-performance bonuses based on personal and company goals.
- Paid time off starting at 20 days, 11 paid holidays, and 8 hours of annual volunteer time off.
- 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 FSA.
- 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.
- Depending on the role, travel allowances, relocation assistance, signing bonus, and/or equity may be available.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
