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.