• Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes.
• Assess new and existing data sources to determine data availability, quality, completeness, and suitability for business and technical use.
• Validate business rule implementation and confirm that technical solutions align with customer requirements and intended business outcomes.
• Translate ambiguous business needs into structured data logic, requirements clarifications, and analysis products that support technical implementation.
• Work closely with ETL developers, reporting developers, and other team members to identify data issues and provide corrective guidance.
• Support backlog refinement, requirements elaboration, sprint planning, sprint demonstrations, and incremental delivery in an agile environment.
• Perform data validation, reconciliation, and quality checks on outputs supporting dashboards, reports, ad hoc queries, and automated processes.
• Help document assumptions, risks, dependencies, and potential efficiencies to support ROM development, governance discussions, and planning inputs.
• Develop and maintain analysis artifacts, data definitions, validation documentation, and supporting operational documentation as part of normal delivery activities.
• Support multiple business lines and enterprise priorities as required.
• Other responsibilities as assigned.
Requirements.
• Demonstrated experience analyzing large datasets and identifying trends, gaps, anomalies, and structural issues.
• Experience validating business rules, data quality, and integrity in support of production reporting, analytics, or operational solutions.
• Experience translating business requirements into structured data logic, analysis findings, and actionable guidance for developers and stakeholders.
• Experience working with SQL, relational data structures, and data extraction or analysis tools used in enterprise environments.
• Experience supporting agile or iterative delivery efforts with backlog-driven work, sprint-based execution, and incremental releases.
• Experience preparing analysis artifacts, validation documentation, data definitions, or other technical and functional documentation.
• Ability to operate effectively in an enterprise production environment with minimal ramp-up time.
• Must be authorized to work for any employer in the U.S.
• Must be able to obtain and maintain the required security clearance.
Preferred/Desired.