PLM Process Data Analyst II

Andersen Corporation • Bayport, MN

7d • Hybrid

About The Position

The PLM Process Data Analyst II is a subject-matter expert responsible for leading cross functional projects and driving data driven improvements across multiple value streams, plants, and business functions. This role applies advanced data, systems, and process knowledge to solve complex problems, enhance ERP and PLM data structures, and support strategic decision making. The analyst brings a future focused mindset, challenges existing solutions with continuous improvement efforts and voice of the customer feedback and provides informal leadership to project teams with the potential to grow into a formal people-leader (in-seat). This position will be considered MN/WI remote based; with the ability to be on site in Bayport (min. once per month), at your own expense; in order to attend various team meetings in-person.

Requirements

• Bachelor’s degree in Business Management, Supply Chain, Information Technology, Data Analytics, Engineering, or other related disciplines.
• 3–5+ years of experience in data analysis, product data management, ERP systems, PLM, or related disciplines.
• Demonstrated ability to lead cross‑functional projects without formal authority (informal leadership).
• Strong problem‑solving skills with the ability to take a new perspective on existing challenges.
• Experience working in or supporting manufacturing, engineering, or supply chain environments.

Nice To Haves

• Hands‑on experience with ARAS Innovator, PLM workflows, change management, or engineering change processes.
• ERP experience with systems such as SAP, Oracle, JD Edwards, Infor, or similar.
• Understanding of product lifecycle, item structures, bills of materials, and manufacturing processes.
• Formal leadership experience in some capacity within prior roles or stretch assignments.

Responsibilities

• ERP & Item Data Leadership Lead the development and integration of new or existing manufacturing plants into ERP systems from an item‑data perspective.
• Drive the implementation of item data for new products, ensuring accuracy, completeness, and alignment with operational needs.
• Own and improve item master processes across business units to support scalability, quality, and operational performance.
• Cross‑Functional & Plant-Level Impact Understand and interpret the interconnectivity of departments, operations, plants, and systems to represent a holistic “plant + cross‑functional” viewpoint.
• Act as a bridge between Operations, Engineering, Supply Chain, IT, and Product Management to ensure data integrity and process alignment.
• Project & Change Leadership Lead multi‑disciplinary project teams to solve complex data or process issues that impact multiple functions or value streams.
• Apply change‑management principles to ensure successful adoption of new systems, process enhancements, and data governance practices.
• Challenge existing processes and provide new perspectives to drive continuous improvement and modernization.
• Analytics & Decision Support Provide high‑quality planning and analytical support to enable effective operational and strategic decision‑making.
• Analyze large datasets, system behavior, and process workflows to identify gaps, risks, and improvement opportunities.
• Systems & Tools Serve as a subject-matter expert in ARAS Innovator, PLM processes, and related data lifecycle management tools.
• Utilize strong ERP expertise (e.g., item master, BOMs, routings, product structures) to support system configuration and optimization.
• Maintain proficiency in Microsoft Office, including advanced Excel for data analysis and reporting.

Benefits

• 401 (k) Plan, Employer Fixed Contributions & Company Matching
• Profit Sharing
• Medical, Dental and Vision Coverage
• Flexible Spending Accounts (FSAs), Health Savings Account (HSA) and Health Reimbursement Account (HRA)
• Life Insurance
• Paid Time Off & Paid Holidays
• Paid Maternity Leave & Paid Parental Leave
• Career Growth Planning & Nationwide Career Opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level