Job Description & How to Apply Below
Centric PLM Systems Analyst
Position Overview
We are seeking a detail-oriented and technically skilled PLM Systems Analyst to support and optimize our Centric PLM environment. The ideal candidate will bridge the gap between business processes and technology, ensuring data integrity, seamless system integrations, and actionable insights that drive product lifecycle efficiency.
Key Responsibilities
Administer, configure, and support the Centric PLM platform to meet evolving business requirements
Design, execute, and maintain data migration processes between Centric PLM and other enterprise systems
Develop and manage system integrations to ensure smooth data flow across platforms (ERP, e-commerce, sourcing, etc.)
Write and optimize SQL queries to extract, analyze, and validate data within the PLM system
Analyze complex datasets to identify trends, discrepancies, and opportunities for process improvement
Translate business needs into technical requirements and collaborate with cross-functional teams (product development, merchandising, sourcing, IT) to implement solutions
Troubleshoot system issues, perform root-cause analysis, and implement corrective actions
Create reports, dashboards, and documentation to communicate insights and system performance to stakeholders
Support user training and adoption of PLM best practices
Participate in system upgrades, testing, and quality assurance efforts
Required Qualifications
Proficiency in Centric PLM software, data analysis tools, and SQL
Experience with system integration and data migration projects
Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights
Solid understanding of product lifecycle management processes within retail, apparel, footwear, or consumer goods industries (preferred)
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
Bachelor's degree in Information Systems, Computer Science, Business, or a related field (or equivalent experience)
Preferred Skills
Experience with ETL tools and data warehousing concepts
Familiarity with API-based integrations and middleware platforms
Knowledge of scripting languages (Python, JavaScript) for automation
Prior experience in a fashion, retail, or manufacturing environment
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