Senior Data Analyst

Join the Fraud/AML squad within Enterprise Data and Information Services (EDIS) as a Senior Data Analyst. In this role, you will help build and optimize enterprise data pipelines that power reporting, analytics, and business insights critical to decision-making. You will play a key role in data mapping, transformation, and delivery across multiple data assets within the data supply chain.

Key Responsibilities

• Own and manage data mapping from source systems to Fraud/AML data marts and downstream systems
• Translate business requirements into detailed mapping documents and technical specifications
• Develop, test, and maintain scalable datasets and reusable code
• Perform peer code reviews and ensure high-quality deliverables
• Provide mentorship and guidance to junior analysts
• Identify opportunities to improve efficiency, reduce costs, and enhance data quality
• Evaluate new data solutions and provide technical recommendations and optimization strategies
• Contribute to data models, ERDs, and technical documentation
• Build and enhance context diagrams to ensure auditability
• Define business rules, transformation logic, and SQL queries for data mapping
• Participate in mapping and data architecture review sessions
• Support portfolio planning, prioritization, and remediation efforts
• Ensure adherence to data governance and best practices, especially in financial risk management

Required Qualifications

• Education & Experience:
  • Master’s degree with 5+ years of experience, OR
  • Bachelor’s degree with 8+ years of experience, OR
  • Equivalent work/military experience
• 3+ years of strong SQL experience
• Hands-on experience with Google Cloud Platform (BigQuery preferred)
• Proven ability to analyze and interpret complex business data
• Experience implementing automated data quality checks
• Strong communication and documentation skills
• Experience working in Agile environments (Jira, Confluence)
• Strong attention to detail and ability to manage multiple priorities

Preferred Qualifications

• Experience in AML, Fraud, or Financial Services

Familiarity with ETL tools (e.g., Ab Initio)