- 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.
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
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 targe...
- 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.
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
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