Data Analyst – Remote – Direct Client – Banking – JOBID573

Top 3 Things looking for when reviewing resumes

1. Data mapping and modeling experience

2. SQL, SAS and Python

3. Felxibility to be a DA (complex dataset creation), lead mapping review meetings as needed, but also to fill a BA role to ensure continuity of delivery with business

Essential Job Functions:

· Owns the attribution mapping details for data elements from the source systems to the target analytics data assets and Wealth-specific data solutions including, but not limited to star marts, extracts, hierarchies, and point-to-point solutions to support Wealth domain assets.

· 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 Foundational Analytics and Wealth Squad.

· Give 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.