Senior Data Analyst

Title: Senior Data Analyst

Client: Key Bank

Location: Remote

Duration: 6 Months

Work Hours: 40hrs/week

Job Description

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.

Responsibilities

• 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 Skills

• 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.
• Provide data mapping details on the attributes required including the vital information on how the data from the source system will be transformed and stored in the target source.

• Be an influencer with other resources in KTOS including Data Architects, Developers and Enterprise Testers to help drive design, develop, and test based on the requirements given.
• Be an influencer with the Line of Business including Business Analysts and Business Subject Matter Experts (SMEs) to make sure business requirements are clear, concise and meet the need of the business.
• Leverages metadata to provide insight into source system data.
• Understand source systems and apply that knowledge to prepare the detailed mapping of source to target documents for use by Developers.
• Lead the work with application system business users and SMEs on finalizing requirements and translate those requirements into technical mapping documents.
• Provide status of mapping work to Project Managers and other members of Management and estimate the effort to complete work.
• Give input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL.
• Understand programming concepts including program design, performance and execution and utilize this information as part of the mapping design process. Give into efficient programming design.
• 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