Jobs → Data & Analytics → Data Analyst with PLM

About the Role We are seeking a Data Analyst with PLM expertise to join our team. This role involves collecting, analyzing, and interpreting product lifecycle data from PLM systems and other enterprise applications. Key Responsibilities • Maintain data quality, consistency, accuracy, and integrity across product records, Bills of Materials (BOMs), parts, documents, and engineering change records. • Develop dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools. • Write SQL queries to extract, transform, and analyze data from databases. • Analyze product structures, BOMs, engineering change orders (ECOs), and product revision histories. • Support data migration, cleansing, mapping, reconciliation, and validation activities during PLM implementation or system upgrades. • Collaborate with engineering, manufacturing, supply chain, quality, and IT teams to understand business requirements. • Identify data discrepancies, trends, process gaps, and opportunities for improvement. • Prepare regular and ad hoc reports to support business decisions and operational performance tracking. • Document data definitions, reporting requirements, business rules, and standard operating procedures. • Support PLM system integrations with ERP and other enterprise systems. • Ensure compliance with data governance standards, access controls, and applicable business processes. Requirements • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field. • 3–6 years of experience in data analysis, reporting, or business intelligence. • Working knowledge of PLM systems such as Siemens Teamcenter, PTC Windchill, Dassault Systèmes ENOVIA, or SAP PLM. • Strong proficiency in SQL and Microsoft Excel. • Experience with Power BI, Tableau, or other reporting and visualization tools. • Understanding of product data structures, BOM management, part master data, product revisions, and engineering change management. • Experience in data cleansing, data validation, reconciliation, and migration. • Strong analytical, problem-solving, and communication skills. • Ability to work with cross-functional teams and translate business requirements into actionable insights.