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Data Taxonomy Jobs in Michigan (NOW HIRING)

This role blends data management, taxonomy optimization, customer support, and commercial insight to ensure our product offering is accurate, discoverable, and aligned with market needs. The ideal ...

This role blends data management, taxonomy optimization, customer support, and commercial insight to ensure our product offering is accurate, discoverable, and aligned with market needs. The ideal ...

This role blends data management, taxonomy optimization, customer support, and commercial insight to ensure our product offering is accurate, discoverable, and aligned with market needs. The ideal ...

This role blends data management, taxonomy optimization, customer support, and commercial insight to ensure our product offering is accurate, discoverable, and aligned with market needs. The ideal ...

PIM/Data Administrator

Portage, MI · On-site

$55 - $75/hr

Manage product attributes, taxonomy structures, categories, relationships, metadata, and established data standards. * Support product onboarding, new item creation, revisions, discontinuations, and ...

Respond to customer concerns related to labor operation data, including vehicle application questions, estimated work-time verification, and taxonomy classification. * Quality Assurance: Execute ...

Respond to customer concerns related to labor operation data, including vehicle application questions, estimated work-time verification, and taxonomy classification. * Quality Assurance: Execute ...

Respond to customer concerns related to labor operation data, including vehicle application questions, estimated work-time verification, and taxonomy classification. * Quality Assurance: Execute ...

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Data Taxonomy information

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What are the key skills and qualifications needed to thrive as a data taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomist?

To become a data taxonomist, develop skills in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and understanding domain-specific knowledge is essential, along with familiarity with data governance and relevant software such as Protégé or Excel.

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What skills are needed for data taxonomy?

Data taxonomy professionals need strong analytical skills to categorize and organize data effectively, along with knowledge of data management principles and metadata standards. Familiarity with data modeling tools, taxonomy development, and understanding of business context are also important. Proficiency in tools like Excel, SQL, or specialized taxonomy software can enhance performance.

What are popular job titles related to Data Taxonomy jobs in Michigan?

For Data Taxonomy jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Data Taxonomy jobs?

Cities in Michigan with the most Data Taxonomy job openings:

Infographic showing various Data Taxonomy job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Product Data Specialist

Essentra

Muskegon, MI • On-site

Other

PTO

Posted 13 days ago


Essentra rating

7.3

Company rating: 7.3 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

33rd of 85 rated plastic manufacturers


Job description

Data Analyst

Reid Supply, an Essentra Company, is seeking a dynamic and detail-oriented Data Analyst to join our Product Strategy team. This role blends data management, taxonomy optimization, customer support, and commercial insight to ensure our product offering is accurate, discoverable, and aligned with market needs. The ideal candidate will be a cross-functional collaborator who understands the importance of clean data, customer experience, and commercial performance.

The Data Specialist is responsible for maintaining, enriching, and optimizing product information across digital and commercial platforms. This role ensures product data accuracy, taxonomy effectiveness, and product discoverability while supporting sales growth, customer experience, and operational efficiency.

This is a hybrid job that requires working onsite in our Norton Shores, MI office 3 days per week. We are considering local candidates only. We are not providing sponsorship or relocation assistance at this time.

Typical Job Responsibilities:

  • Product Data & Taxonomy Management
  • Develop and maintain product taxonomy and categorization across digital platforms.
  • Ensure product data accuracy, completeness, and consistency across systems (PIM, ERP, eCommerce, and marketplaces).
  • Support onboarding new products by validating attributes, specifications, and metadata.
  • Collaborate with suppliers to standardize and enrich product data.
  • Work closely within the Product team to identify NPI and category expansion opportunities.
  • Customer & Commercial Support
  • Act as a product expert to assist customer service and sales teams with technical inquiries.
  • Analyze customer feedback and support tickets to identify product data gaps or usability issues.
  • Partner with commercial teams to align product data with pricing strategies, promotions, and market trends.
  • Provide insights into product performance, customer behavior, and sales opportunities.
  • Data Analysis & Optimization
  • Use tools like Excel, Power BI, and other tools to analyze product performance, search behavior, and taxonomy effectiveness.
  • Monitor commercial and digital KPIs to improve product discoverability and business performance.
  • Support SEO and digital merchandising efforts through optimized product content and structure.
  • Establish and maintain product data standards, governance procedures, and documentation to ensure consistency across systems and business functions.
  • Develop recurring reports and dashboards that provide insights into product performance, search behavior, customer engagement, and category growth opportunities.
  • Cross-Functional Collaboration
  • Work closely with the purchasing team, sales, marketing, eCommerce, and operations to ensure product data supports business objectives.
  • Participate in product lifecycle management, including rationalization and enrichment initiatives.
  • Provide training and documentation on taxonomy standards and product data best practices.
  • Serve as the subject matter expert for product data and taxonomy, influencing cross-functional decisions related to product launches, category management, and digital commerce initiatives.

Qualifications:

  • Bachelor's degree in Business, Marketing, Engineering, or a related field strongly preferred.
  • Will consider Associate's degree or equivalent experience and 2+ years of experience in product data management, taxonomy, or eCommerce.
  • Experience with PIM systems, ERP platforms, and digital catalogues.
  • Be a detail-oriented individual.
  • Strong analytical skills with ability to interpret and utilize data to drive sound decisions.
  • Strong proficiency in MS Excel and other data management platforms.
  • Ability to manage projects and work through challenges to completion.
  • Excellent communication and organizational skills.
  • Commercial mindset with an understanding of product positioning and customer needs.
  • Team player with excellent collaboration skills.
  • Experience in industrial components distribution or manufacturing is strongly preferred.
  • Project management experience and attention to detail.
  • Experience maintaining large product datasets within ERP, PIM, eCommerce, or marketplace platforms.

What We Offer:

This position offers a competitive salary, annual bonus incentive, full benefits package, and generous paid time off.


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