Global Product Information Analyst II

MOVE FORWARD WITH US

• Lead implementation, optimization, and ongoing improvement of ERP and PIM system architecture, workflows, and integrations
• Drive global product data governance execution, including taxonomy, attribute frameworks, definitions, naming conventions, and business rules
• Ensure global data compliance and integrity by designing and maintaining audit methodologies, dashboards, and scorecards, and actively engaging product teams to close gaps
• Partner with Digital, eCommerce, and Commercial teams to ensure product information supports omnichannel requirements, SEO, and customer experience standards
• Develop scalable methods for accessing, distributing, and syndicating product data to internal systems, customer tools, and external platforms
• Monitor and coordinate global enrichment activities, providing direction and prioritization to data entry and regional resources
• Identify automation, mass‑update, and efficiency opportunities within PIM and ERP to reduce manual effort and improve time‑to‑market
• Contribute to roadmap discussions for PIM, DAM, and adjacent systems, incorporating evolving business and market requirements
• Support ad hoc data governance activities, including data quality investigations, standards definition, ownership alignment, and cross‑domain data initiatives beyond product information

• Hard-working winners - Confident, competitive, and results-oriented professionals who create a track record of success.
• Dedicated achievers - People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.
• Effective communicators - People who can interpret information clearly and accurately to concisely communicate results and recommendations to stakeholders.
• Collaborative partner - People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices.

• Bachelor’s degree or equivalent experience in Product Information Management, Master Data Management, Data Architecture, Business Intelligence, Information Science, Computer Science, or a related technical discipline (required)
• 3+ years of experience working with databases and data modeling (required)
• Hands‑on experience with Product Information Management systems (strongly preferred)
• Experience supporting eCommerce, digital platforms, or data syndication use cases (preferred)

• Advanced proficiency in MS Excel, including large‑dataset analysis and data validation
• Strong knowledge of databases, data modeling, and master data concepts
• Demonstrated experience acquiring, cleansing, enriching, and governing large volumes of structured product data
• Strong proficiency in Microsoft 365 tools (Excel, PowerPoint, SharePoint, Teams)
• Familiarity with ERP systems (Oracle E1 desired) and modern PIM platforms (e.g., Akeneo, Salsify, Informatica – preferred)
• Understanding of omnichannel product data requirements (websites, marketplaces, customer tools)
• Strong analytical, problem‑solving, and root‑cause analysis skills
• Process‑driven mindset with a focus on continuous improvement and scalability
• Highly organized, self‑starter with the ability to operate independently in a global environment
• Ability to coordinate cross‑functional and cross‑regional efforts effectively
• Strong attention to detail, particularly in managing data quality, validation, and governance standards
• Excellent verbal and written communication skills, with the ability to translate technical data concepts to business stakeholders

• Microsoft Excel (Power Query, Pivot Tables, advanced formulas; experience working with large datasets) 
• Product Information Management (PIM) platforms such as Akeneo, Salsify, Informatica, Stibo Systems, or equivalent

• SQL (reading and writing queries for data validation, auditing, and analysis)
• Python (data cleansing, automation, scripting to support exports/imports, data workflows, web scraping)
• R Project (data analysis / data exploration; acceptable alternative to Python in many data-handling role requirements)
• Microsoft Power BI (data modeling, basic DAX, dashboard consumption and validation) 
• ERP systems (Oracle E1 desired) with understanding of master data structures and dependencies
• Microsoft 365 (Excel, PowerPoint, SharePoint, Teams)
• Microsoft Power Automate

• Data modeling concepts (attributes, hierarchies, taxonomies, relationships)
• Integration concepts between PIM, ERP, DAM, CRM, and eCommerce platforms
• Mass‑update, automation, and data import/export techniques (CSV, flat files, system tools)
• Familiarity with digital and omnichannel data requirements (websites, marketplaces, customer tools)

Company Values & Benefits

• Hybrid remote work arrangements
• Generous paid time off & holidays
• Paid parental leave & on-site motherhood rooms
• On site café & complimentary beverage stations
• Indoor fitness facility & outdoor walking paths 
• 401(k) with matching & service contributions 
• Health, dental, vision, life insurance
• Short & long-term disability
• Fertility & adoption support
• Undergraduate & graduate tuition reimbursement
• Professional development assistance
• Health & wellness programs