Key Responsibilities:

Data Pipeline Development: Design, build, and maintain robust data pipelines using SAP Datasphere or SAP Data Intelligence to facilitate data extraction, transformation, and loading (ETL) processes.

Data Modeling: Create and optimize data models that support analytical and reporting needs, ensuring alignment with supply chain requirements.

Collaboration: Work closely with supply chain business team members and other IT stakeholders to understand data needs and provide actionable insights.

Data Quality Assurance: Implement data quality checks and validation processes to ensure accuracy and reliability of data.

Documentation: Maintain clear and comprehensive documentation of data architecture, ETL processes, and data governance practices.

Performance Optimization: Analyze, provide recommendations for and optimize data models and architecture for efficiency and performance improvements.

Support and Troubleshooting: Provide support for data-related issues and troubleshoot problems in data pipelines or reporting tools.

 Required Skills and Qualifications:

 Technical Skills:

Strong experience with SAP Datasphere.

Proficient in SQL and data modeling techniques.

Knowledge of data integration tools and ETL frameworks.

Strong understanding of supply chain related key ERP data objects – sales order, delivery, billing documents, Inventory, Shipments etc.

Familiarity with PowerBI for data visualization and reporting is a plus.

Familiarity with Power Automate for automating workflows and processes is a plus

 Functional Knowledge:

Understanding of supply chain and logistics concepts, processes, and key performance indicators (KPIs).

Experience working with supply chain data and analytics.

Experience working with supply chain SAP and 3rd party data.

 Soft Skills:

Strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Detail-oriented with a focus on data accuracy.