• Serve as a critical bridge between business stakeholders, analytics teams, and data management groups. • Combine strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design. • Champion data stewardship and play a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams. • Collect, clean, and analyze data from multiple sources to uncover trends, patterns, and actionable insights. • Translate analytical findings into clear, business‑friendly insights that support decision‑making. • Elicit, document, and manage business, functional, and non‑functional requirements through techniques such as interviews, workshops, process analysis, and user story creation. • Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations across teams. • Support prioritization by assessing business value, impacts, complexity, and risk. • Ensure traceability of requirements from intake through development, testing, and deployment. • Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases. • Define testing acceptance criteria, support user validation, and provide structured feedback for continuous improvement. • Monitor and enhance data quality through profiling, validation, remediation, and alignment with organizational priorities.