Data Analyst

• The Senior System Analyst partners with Product Managers, Product Owners, Engineering teams, and Business stakeholders to define, analyze, and deliver high quality data products and applications. • This role has a strong focus on data analysis, requirements definition, and lifecycle support across enterprise data platforms, with an emphasis on financial services and mortgage data. Key Job Functions: • Partner with business units and subject matter experts to identify, analyze, and refine business and technical requirements for data driven applications and products under development or enhancement. • Document detailed functional requirements and data mappings, including attribute level source to target mappings, transformations, and derivations for specific applications or data products. • Perform end to end data analysis throughout the product lifecycle to ensure delivery of high quality, trusted data solutions. Analysis activities may include: • Data gathering, profiling, and aggregation. • Requirements creation and refinement. • Data structure and modeling recommendations. • Metadata standardization and dataset registration. • Source to target mapping and transformation design. • Impact analysis and upstream/downstream dependency assessment. • Data validation and reconciliation. • Review, contribute to, and maintain requirements, design, and test documentation, ensuring alignment across business, product, and technology teams. • Support application and data product testing by contributing to test plans, executing user acceptance testing (UAT), and evaluating test results in partnership with development and testing teams. • Collaborate closely with the Product Owner and Product Manager to support product vision, backlog refinement, roadmap planning, and release management. • May lead analysis efforts for small projects or own significant workstreams within larger, complex initiatives. • Provide business domain, data, technology expertise, and prepare or contribute to briefings and updates for application owners and stakeholders at key stages of delivery. Education & Experience: • Education: Bachelor’s degree or equivalent experience in Information Technology, Data Science, Statistics, Economics, Computer Science, or a related field. • Experience: 8–10 years of relevant experience in Systems analysis, Data analysis, or Product aligned delivery roles. Specialized Knowledge & Skills: • Advanced experience performing data analysis across the product or application lifecycle within financial services or banking; mortgage industry experience strongly preferred. • Strong proficiency in SQL; development experience with Tableau; Python development experience is a plus. • Deep understanding of Agile methodologies, with hands on experience using Atlassian tools (JIRA, Confluence); Product Owner experience preferred. • Demonstrated ability to translate complex data and technical concepts into clear, actionable requirements. • Strong verbal and written communication skills, with excellent problem solving, analytical thinking, and attention to detail. • Proven ability to work independently while collaborating effectively across product, engineering, and stakeholder teams. #LI-CGTS #TS-3142