Snr. Specialist, Supply Chain Data & Analytics

Role responsibilities :

• Design and manage the development of modular, reusable, and maintainable software solutions for the Supply Chain organization and other strategic initiatives.
• Participate in fit-gap workshops, providing effort estimates and solution proposals.
• Develop and maintain code repositories, responding quickly to bug reports and security vulnerabilities.
• Integrate software development best practices.
• Collaborate extensively with colleagues across Security, Compliance, Engineering, Project Management, and Product Management.
• Drive data enablement and build digital products according to business priorities and technology architects alignment.
• Contribute to AI / ML initiatives, cloud migration, data quality improvement, business process simplification, and other strategic pillars.
• Ensure solutions adhere to architectural and development standards, best practices, and the Data and Analytics strategy.
• Provide status reports to product owners and IT management.

Role Requirements :

8+ years in data & analytics, 3+ years in delivery management, and customer-facing IT roles, 2+ years in Machine Learning and SAP BW on HANA / S / 4 HANA

Experience with collecting and interpreting requirements, building solutions to satisfy business needs.

Strong understanding of Supply Chain processes and KPIs, including inventory management, demand forecasting, and supply chain optimization.

Excellent communication, analytical, and problem-solving skills.

Proficient in Machine Learning, GenAI, Data Lake, Data warehouse, and visualization tools (Power BI, Qlik Sense).

Strong hands-on exposure in Data and Analytics solutions.

Hands-on experience with Agile, Disciplined Agile, Waterfall, and tools like Jira, Confluence, GitHub, Bitbucket, SAP Solution Manager.

Experience with AWS Services, Python, Databricks, Snowflake, Power BI, Angular, and SAP Analytics.

Domain expertise in Pharma and / or Healthcare is a plus.

Languages :

English.

Skills Required

Databricks, Sap, Data Warehouse, Github, Power Bi, Jira