Job Title: Sr. Data Analyst (Fraud / AML)
Hybrid must be within 35-mile footprint of the following locations: Cleveland, OH, Columbus OH, Albany, NY or Buffalo, NY
Job Brief:
Join the Fraud/AML squad as Senior Data Analyst within Enterprise Data and Information Services (EDIS)! Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions. The Senior Data Analyst will be responsible for data mapping, required to deliver vital information to the consumer population for multiple data assets.
Essential Job Functions:
Owns the attribution mapping details for data elements from the source systems to the target Fraud, AML and various marts within data supply chain (DSC)
Independently translates business requirements to detailed mapping documents, develops and unit tests datasets building maintainable code to accelerate delivery through reusability, and performs peer code reviews
Embraces mentorship and provides training for less experienced business and data analysts
Provides continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality
Assesses the technical viability of new and emerging data solutions providing design guidance, technical recommendations, performance optimization, and development insights
Contributes to technical documentation, specifications, and project artifacts for developing data solutions
Adheres to and identifies standards and best practices to be extended beyond the Fraud/AML Squad
Provide input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL
Create and enhance context diagrams for data solutions to maintain auditability.
Provide all the business rules, transformation logic, derived column expressions, SQL, etc. to build mapping documents
Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions
Knowledge of portfolio planning, project prioritization, and remediation planning activities
Strong knowledge of Risk Management practices associated with Financial Institution or financial data
Required Qualifications:
- Education: Master s Degree and 5+ years data analytics experience, Bachelor s Degree and 8+ years data analytics experience, or equivalent military/work experience
- 3+ years experience in SQL
- Experience in Google Cloud Platform, notably Big Query
- Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations
- Possess strong written and verbal communication skills
- Experience with Agile Methodologies, Jira and Confluence
- Attention to detail / quality focused
- Able to effectively work multiple priorities simultaneously
- Experience in AML, Fraud or Financial Industry, a plus
- Experience in AbInitio or ETL tool, a plus
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