SAP Analytics M&S expert

7+ years of Analytics and reporting technologies working on Global projects, preferably in a FMCG and/or FMCH context.

Strong experience and understanding of Data architecture, analytical solutions that include SAP and non-SAP solutions (Power BI and Snowflake). Nice to have experience on SAP BDC services (Datasphere, SAC and Databricks).

Deep knowledge of organizational processes, data and associated applications. Strong knowledge of Analytics solutions, tools and processes; collecting data from multiple systems on-premises and cloud-based.

Strong knowledge in Advanced analytics topics including predictive and prescriptive analytics.

Good experience in Embedded Analytics, SAP BW4/HANA and other Data warehouse platforms. In particular will be required the following skills: LSA++ Architecture: Understanding the Layered Scalable Architecture to build lean, high-performance data models. Embedded Analytics: Using CDS (Core Data Services) Views to push logic down to the database level, allowing for real-time Fiori dashboards. SQL coding: Ability to create SQL queries and procedures in technologies like Snowflake.

LSA++ Architecture: Understanding the Layered Scalable Architecture to build lean, high-performance data models.

Embedded Analytics: Using CDS (Core Data Services) Views to push logic down to the database level, allowing for real-time Fiori dashboards.

SQL coding: Ability to create SQL queries and procedures in technologies like Snowflake.

Knowledge of working in SAP functional areas (specifically focused on SAP Production and Material Management modules) and experience being participated in projects with global scope.

Provide proved knowledge and experience in the following: Core S/4HANA Production and Logistics mastery, which means deep knowledge and understanding the integration between the productive and material management processes: Production Execution: Deep knowledge on supply chain and batch management functional processes. Inventory Management and EWM: Deep understanding of stock types (unrestricted, quality inspection, blocked) and how Extended Warehouse Management data flows into analytics for warehouse throughput and bin utilization. Industry-Specific Domain Knowledge: Consumer Health: Quality Management (QM) Analytics: Batch Traceability