Senior Analyst - Taxonomy

Job Description

As a Product Data Taxonomy Specialist in our eCommerce organization at MilliporeSigma, you will play a critical role in ensuring data governance, compliance, and effective taxonomy management across our extensive portfolio of over 350,000 products. You will be accountable for evolving, expanding, and enriching our product data taxonomy structure to support a best-in-class shopping experience for our customers. Who Are You: Lead the development of product category taxonomies to effectively organize and categorize our expansive and diverse catalog of reagents, chemicals, and instrumentation. Establish and maintain effective taxonomy structures that enhance product categorization and facilitate data retrieval. Develop and maintain standard operating procedures (SOPs) for implementing taxonomy changes. Collaborate with our Product Teams on establishing requirements and enhancements to Taxonomy Management Service/Application Conduct competitive research on product taxonomy structures, both internally and externally. Analyze website metrics and product discovery behaviors to drive data-informed decisions. Collaborate with stakeholders to promote the availability of high-quality, trusted data as a strategic asset in support of operational effectiveness and decision-making. Monitor and evaluate product data quality on an ongoing basis, identifying areas for improvement and driving corrective actions. Mentor internal users on data governance principles, taxonomy management, and compliance requirements. Educate technical and non-technical audiences on information architecture concepts. Basic/Minimum Qualifications: 2+ years of experience in Scientific Taxonomy/Ontology and its applications to eCommerce Taxonomy management, Search Engine management, or Information Architecture Bachelors degree in Chemistry, Biology, Materials Science, Data Science, or a related field. Experience working with PIM systems Familiarity with digital marketing, web content development, and the implications of product data structure on marketing strategies Experience creating and communicating technical requirements to engineering teams Strong understanding of data management best practices, including taxonomy management, metadata management, data quality management, and compliance frameworks. Understand the flow of e-Commerce product catalog information from search to checkout Preferred Qualifications: Masters Degree in Chemistry, Biology, Materials Science, Data Science, or a related field. Experience with scientific products and laboratory workflows Familiarity with database management concepts, and experience with advanced data manipulation techniques Demonstrable ability to devise, communicate, and implement information architecture strategy Deep familiarity with taxonomies, ontologies, and classification systems and their management Familiarity with machine learning and natural language concepts and applications Adept at diving deep into search including algorithms and technical details Intellectually curious, technically savvy, detail oriented, entrepreneurial