Senior Analyst Packaging Systems

Job Summary: As a Packaging Systems Senior Specialist, this role plays a critical role in managing and optimizing packaging-related data to support new product development, specification changes, and broader business initiatives. This position bridges technical expertise, data management, and cross-functional collaboration to ensure the accuracy, integrity, and strategic use of packaging data across the organization. It is responsible for entering and validating data in both legacy and new Product Lifecycle Management (PLM) systems, querying data, generating reports, configuring and testing the new PLM system, migrating data, and supporting change management through documentation and training. This role also serves as a subject matter expert in Packaging, providing technical insights that influence operational efficiency and sustainability efforts. As a senior member of the team, it works with greater autonomy, takes ownership of complex or ambiguous problems, mentors others, and sets the standard for data quality and process discipline within the packaging function. Success requires acting as a trusted advisor—combining technical knowledge, data analysis, packaging expertise, and sound business judgment to provide independent, fact-based recommendations and influence decisions regardless of organizational level. This role must have the confidence to speak up, challenge assumptions, and respectfully disagree with peers, cross-functional partners, and leadership when data, facts, or business needs support a different course of action, and the professional courage to escalate risks, issues, and opportunities when appropriate. Essential Duties and Responsibilities Data Entry and QA – Gather and accurately input data from various sources into new PLM and legacy systems for New Product Development and Spec Changes. Ensure accuracy, completeness, and consistency through regular audits and validation checks. Data Analysis and Reporting – Query and analyze data to identify trends, patterns, risks, and opportunities that support decision-making. Build regular and ad-hoc reports using PLM, Power BI, and Excel, translating complex data into clear business implications and recommended actions. Collaboration and Communication – Partner with internal stakeholders, external partners, and cross-functional teams to align business objectives and drive successful outcomes. Build credibility through expertise and judgment, communicate recommendations clearly, and constructively challenge assumptions when business, technical, operational, or data-related risks are identified. System Configuration and Testing – Support setup and configuration of the new PLM system to meet organizational needs, and conduct thorough testing to ensure business requirements are met and issues resolved. Data Migration – Query, merge, and clean data from legacy systems and various sources to migrate into the new PLM system, ensuring data integrity and accuracy. Documentation, Training, and Change Management – Create and maintain documentation and train users on processes, best practices, and reports. Act as a change champion by influencing adoption, addressing concerns, and providing trusted guidance for new processes and systems. Support, Maintenance, and Security – Provide ongoing PLM support and maintenance, addressing user issues promptly, and protect sensitive data by following IT Security measures and monitoring access controls. Project Management and Prioritization – Manage multiple projects—planning, execution, and monitoring progress—while independently assessing priorities, risks, and business impact. Provide recommendations and respectfully challenge decisions when conflicting priorities or assumptions could negatively impact outcomes, system integrity, or project success. Operational Excellence – Drive operational excellence by identifying inefficiencies, challenging legacy ways of working, and championing process