Merck KGaA

Senior Analyst - Taxonomy

Posted On

May 7, 2025

Location

Bangalore, Karnataka

Experience Level

C - Professional (1-3 years)

Job Type

Full-time

Apply By

June 3, 2025

Job Description

Title: Senior Analyst - TaxonomyLocation: Bangalore - Electronic City The MilliporeSigma eCommerce organization is focused on creating a customer-centric experience and is responsible for driving our multi-billion euro channel, which supports over 40 million visitors and transacts millions of orders each year. With us, there are always opportunities to break new ground and stretch yourself. We will continue to identify and deliver on opportunities to further accelerate growth and evolve our e-commerce business into the standard for collaboration in the life sciences. Join us and bring your curiosity to life! 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 Bachelor’s 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 strategiesExperience creating and communicating technical requirements to engineering teamsStrong 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: Master’s 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 We are an equal opportunity employer that values workforce diversity. We want everyone to be able to bring their best self to work every day which is why equality and inclusion is at the forefront of all our activities. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.

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