Jobs → Data & Analytics → Data Solutions Analyst – Enterprise Data

About the Role We are looking for an experienced Data Solutions Analyst – Enterprise Data to drive enterprise data solutions, data governance, business intelligence, and reusable data product development. This role will act as a bridge between business stakeholders, Azure Data Engineering, and Business Intelligence teams. Key Responsibilities • Partner with Finance, HR, Sales, Operations, and Product stakeholders to gather business requirements and define enterprise KPIs • Develop complex SQL queries for data profiling, validation, reconciliation, and business logic implementation • Define functional requirements for reusable Gold Layer data products using Bronze, Silver, and Gold Medallion Architecture • Define and document Power BI semantic model requirements, including measures, dimensions, relationships, hierarchies, and Row-Level Security (RLS) • Drive Master Data Management (MDM), data governance, data quality, data ownership, and stewardship initiatives • Establish standardized business rules, enterprise metrics, metadata, business glossaries, and data definitions • Collaborate with Azure Data Engineers and BI teams to deliver trusted and reusable enterprise data solutions • Support UAT, data reconciliation, business validation, and production certification • Enable governed enterprise data for AI, Databricks Genie, Copilots, APIs, and advanced analytics use cases Requirements • 5+ years of experience in Data Analytics, Enterprise Data, Data Solutions, Business Intelligence, or Data Product roles • Strong hands-on experience with Advanced SQL, including CTEs, Window Functions, Complex Joins, Aggregations, and Query Optimization • Strong understanding of Enterprise Data Warehousing, Dimensional Modeling, Fact and Dimension Tables, and Star Schema • Experience with Power BI Semantic Models, Measures, Relationships, Hierarchies, and RLS concepts • Experience with Data Governance, Master Data Management (MDM), Data Quality, Data Stewardship, and Metadata Management • Understanding of Medallion Architecture (Bronze, Silver, and Gold layers) • Working knowledge of Azure Data Lake, Azure Data Factory, Azure Databricks, Unity Catalog, or similar cloud data platforms • Strong experience in Business Requirements Gathering, Functional Specifications, Business Rules, and UAT • Excellent communication and stakeholder management skills