UDI Labeling & Data Integrity Analyst

ManpowerGroup; Plymouth (MN); On-site; USD 39,000 - 41,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Care

Supplemental Life Insurance

Short Term and Long Term Disability보험

Business Travel Insurance

401(k), Plus Match

Weekly Pay

Job summary

ManpowerGroup is seeking a Data Management Analyst / Labeling Specialist to support UDI data management and labeling compliance in a deadline-driven environment. Plymouth, MN-based role focusing on accurate data, regulatory alignment, and cross-functional collaboration.

Ideal candidates have 2+ years in data management with IT systems experience, strong attention to detail, and excellent communication skills to work across teams and meet project timelines.

Qualifications

• 2+ years of experience in data management or master data processes.
• Experience with IT systems and databases.
• Ability to manage multiple projects and priorities.
• Strong problem-solving and organizational skills.
• Excellent verbal and written communication across teams.

Responsibilities

• Create, maintain, and manage UDI master data and workflows within internal IT systems.
• Perform data analysis and audits to ensure compliance with global UDI regulations.
• Support cross-functional teams by maintaining accurate labeling and regulatory data.
• Assist in identifying, troubleshooting, and resolving business data and technical issues.
• Manage multiple concurrent assignments while meeting established deadlines and project timelines.

Skills

Data management

Multi-project management

Analytical skills

Communication skills

Tools

IT systems

Databases

Job description

ManpowerGroup is seeking a Data Management Analyst / Labeling Specialist to support UDI data management and labeling compliance in a deadline-driven environment. Plymouth, MN-based role focusing on accurate data, regulatory alignment, and cross-functional collaboration.

Ideal candidates have 2+ years in data management with IT systems experience, strong attention to detail, and excellent communication skills to work across teams and meet project timelines.