Data Analyst - Remote - Direct Client - Banking - W2 only - 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.
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