SAP MM & Supply Chain Systems Analyst - Data & Analytics

Machine Learning Technologies, LLC; San Ramon (CA); On-site; USD 110,000 - 140,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a skilled SAP MM–focused professional to support development and maintenance of Supply Chain systems, data, reports, and analytics. The role collaborates with Supply Chain staff and PG&E IT to deliver robust SAP-based solutions and data-backed insights.

Candidates should have strong SAP MM knowledge, SQL Server experience, and advanced Microsoft Office skills to design data structures and reports that support day-to-day operations and financial

Qualifications

• Bachelor's degree or equivalent experience (one year of experience for every one year of college).
• 4 years of experience in supply chain or in financial systems development, and maintenance.
• Extensive knowledge of SAP MM functionality (understanding of tables and data relationships/structures).
• Knowledge of supply chain processes (creating orders, inventory movements, goods receipts, invoicing and payment).
• Proficient with SQL Server.
• Experience in Database design.
• Advanced in Microsoft Office (Excel, Access).

Responsibilities

• Develop and maintain Supply Chain systems (SAP) and analytics.
• Collaborate with Supply Chain and client personnel to identify system needs.
• Coordinate with PG&E IT to implement system solutions.

Skills

Supply chain domain knowledge

SQL Server

Database design

Excel and Access

Education

Bachelor's degree or equivalent experience

Tools

SAP MM

Job description

Machine Learning Technologies, LLC is seeking a skilled SAP MM–focused professional to support development and maintenance of Supply Chain systems, data, reports, and analytics. The role collaborates with Supply Chain staff and PG&E IT to deliver robust SAP-based solutions and data-backed insights.

Candidates should have strong SAP MM knowledge, SQL Server experience, and advanced Microsoft Office skills to design data structures and reports that support day-to-day operations and financial