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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.
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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:
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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.
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Document detailed functional requirements and data mappings, including attribute level source to target mappings, transformations, and derivations for specific applications or data products.
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Perform end to end data analysis throughout the product lifecycle to ensure delivery of high quality, trusted data solutions. Analysis activities may include:
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Data gathering, profiling, and aggregation.
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Requirements creation and refinement.
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Data structure and modeling recommendations.
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Metadata standardization and dataset registration.
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Source to target mapping and transformation design.
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Impact analysis and upstream/downstream dependency assessment.
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Data validation and reconciliation.
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Review, contribute to, and maintain requirements, design, and test documentation, ensuring alignment across business, product, and technology teams.
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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.
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Collaborate closely with the Product Owner and Product Manager to support product vision, backlog refinement, roadmap planning, and release management.
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May lead analysis efforts for small projects or own significant workstreams within larger, complex initiatives.
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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:
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Education: Bachelor’s degree or equivalent experience in Information Technology, Data Science, Statistics, Economics, Computer Science, or a related field.
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Experience: 8–10 years of relevant experience in Systems analysis, Data analysis, or Product aligned delivery roles.
Specialized Knowledge & Skills:
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Advanced experience performing data analysis across the product or application lifecycle within financial services or banking; mortgage industry experience strongly preferred.
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Strong proficiency in SQL; development experience with Tableau; Python development experience is a plus.
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Deep understanding of Agile methodologies, with hands on experience using Atlassian tools (JIRA, Confluence); Product Owner experience preferred.
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Demonstrated ability to translate complex data and technical concepts into clear, actionable requirements.
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Strong verbal and written communication skills, with excellent problem solving, analytical thinking, and attention to detail.
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Proven ability to work independently while collaborating effectively across product, engineering, and stakeholder teams.
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