Sr. Analytics Engineer

Responsibilities: — Participate in a manufacturing sector project migrating ERP systems to Microsoft Dynamics 365 and developing a modern analytics platform using Microsoft Fabric and Power BI. — Shape the client's Sales & Operations Planning (S&OP) process, coordinating sales, demand, supply, and inventory planning. — Work with business stakeholders to evaluate current planning practices, identify gaps, and define requirements, KPIs, and reporting priorities. — Convert S&OP requirements into analytical data models and Power BI dashboards for demand-supply balancing, inventory visibility, and plan-versus-actual analysis. — Integrate data from Dynamics 365 and other business systems into Microsoft Fabric to ensure reliable planning inputs. — Collaborate with the ERP implementation team to align analytics solutions with business processes and data structures from the Dynamics 365 migration. — Validate data and analytics outputs with business users, investigate discrepancies, and support adoption during S&OP reviews. — Design and develop analytics solutions using Microsoft Fabric and Power BI. — Develop and optimize data processing solutions using Spark and SQL. — Contribute to Lakehouse and Data Warehouse architecture implementation, including Medallion Architecture stages (Bronze, Silver, Gold). Requirements: — Practical experience implementing or enhancing Sales & Operations Planning (S&OP) in manufacturing, covering demand and supply planning, inventory management, and sales-operations alignment. — Hands-on experience with Microsoft Fabric. — Experience in data analysis and modeling within Dynamics 365. — Strong knowledge of Spark and SQL. — Understanding of Lakehouse, Data Warehouse concepts, and data modeling.