Data Analyst - Wealth and Analytics

Location: 4910 Tiedeman Road - Brooklyn, Ohio 44144 Job Brief: Join the Foundational Analytics and Wealth Delivery squad as 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 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 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. REQUIRED QUALIFICATIONS Education: Master's Degree and 3+ years data analytics experience, Bachelor's Degree and 6+ years data analytics experience, or equivalent military/work experience. Possess strong written and verbal communication skills. Experience in Google Cloud Platform, notable Big Query. Experience programming in Python, SAS and SQL. PREFERRED SKILLS / QUALIFICATIONS Experience with Agile Methodologies, Jira, Confluence, Miro, and Asana. Experience in AbInitio or AbInitio Spectograph. Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations. Experience working with Wealth Systems including Envestnet, Pershing, GlobalPlus, and Omnipay Nextgen or similar products is highly preferred. Experience working with APIs and a solution orchestration layer is a plus. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $90,000 to $110,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible. Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be