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- Solution Design: Translate business needs into detailed data requirements, including data mapping, transformation logic and KPI definitions
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- Data Modelling: Collaborate with architects to design conceptual and logical data models that support business scalability
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- SQL Analysis: Profile source data, validate business rules and perform data quality assessments during the analysis phase
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- Documentation: Write BRDs and Functional Specifications that clearly define data lineage and warehouse integration
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- Problem Management: Lead root cause analysis for data discrepancies or pipeline failures to maintain high-quality data outputs
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- Testing & UAT: Define and execute test plans to ensure data in the warehouse accurately reflects business logic
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- Data Governance: Contribute to knowledge management by documenting data dictionaries and metadata
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