We are looking for an Analytics Engineer to bridge the gap between data engineering and business analytics.

This role is responsible for designing, developing, and optimizing semantic data models and analytics-ready datasets to support enterprise and business units’ insights. This role focuses on Microsoft Fabric, Databricks, and Power BI, ensuring trusted, scalable data for business use cases. The engineer collaborates closely with Enterprise Data Engineers, analysts, data consumers, and platform teams to transform curated enterprise data into high quality models that power reporting, dashboards, and self service analytics.

The ideal candidate is detail-oriented, and technically strong - capable of understanding both the data architecture (Databricks, Fabric) and reporting needs (Power BI). They are passionate about building scalable data models, improving data reliability, and enabling data-driven decision-making across the organization. Combines strong data modeling and SQL skills with an understanding of analytics needs and visualization layer performance optimization.

Day to day activities will include collaborating with business and analytics team members to gather reporting and insight requirements, queries and exploring data from the Databricks golden layer to understand data structures and relationships, and builds dataflows, semantic models, and calculated metrics in Microsoft Fabric and Power BI. Publish and manage Fabric semantic models and Power BI datasets. Document transformation logic, metrics definitions, and data relationships for team knowledge sharing. Collaborate with visualization teams to enhance Power BI dashboards, continuously identify opportunities to automate manual data processes, and improve dataset efficiency.