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Job Description
Structured overview of role & requirementsAbout This Role
Analyze and improve data health of parts in OnePart and Enovia PLM using spend data and metadata to support part reuse and rationalization.
Coordinate with cross-functional teams (Engineering, IT, SCM) to drive data health improvement projects and digitalization initiatives including automation and dashboard management.
Support SCM and Engineering with data extraction, integration, and analysis using tools like Snowflake, Palantir, SQL, Python, and Power BI to scale and standardize processes.
Minimum Requirements
Bachelor's degree in Engineering or Supply Chain Management.
6-12 years of relevant experience based on qualification level (Diploma: 10-12 yrs, BE: 6-10 yrs, Masters: 4-6 yrs) in Manufacturing or Engineering domain.
Hands-on experience with data analytics and digitization tools such as Python, Power BI, SQL, Hive, and Power Platform (Power Automate, Power Apps).
Experience with PLM systems (e.g. Enovia), change management, and supplier spend analysis tools.
Ideal Candidate Profile
Experienced in managing data health projects within SCM and engineering digital ecosystems involving PLM and big data tools.
Capable of coordinating multiple cross-functional teams including IT, engineering, and business stakeholders to standardize and automate processes.
Practiced in using automation and reporting tools (Python scripting, Power BI dashboards, Power Platform) to drive digitization and improve data-driven decision making.