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How much do taxonomy analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for taxonomy analyst in the United States is $31.53, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $35.82 per hour, depending on experience, location, and employer.

What is a Taxonomy Analyst job?

A Taxonomy Analyst is responsible for organizing, categorizing, and maintaining structured data to improve information retrieval and classification. They develop and manage taxonomies, metadata schemas, and classification systems to enhance user experience and search functionality. This role often involves collaborating with content strategists, data scientists, and IT teams to ensure consistency and accuracy across digital platforms. Taxonomy Analysts work in various industries, including e-commerce, healthcare, and technology, where structured information is crucial for efficiency and accessibility.

What does a typical workday look like for a Taxonomy Analyst?

A typical day for a Taxonomy Analyst involves analyzing and updating data categorization structures, consulting with stakeholders to understand business and user requirements, and maintaining metadata best practices. You may spend time auditing and refining existing taxonomies, mapping new content into structures, and collaborating with teams such as content management, UX, and product development. Regular meetings with subject matter experts and product owners are common to ensure that classifications remain relevant and effective. The role is both analytical and collaborative, offering variety and the chance to influence how information is accessed and used across the organization.

What are the key skills and qualifications needed to thrive in the Taxonomy Analyst position, and why are they important?

A Taxonomy Analyst should have a strong background in information science, data classification, and metadata management, typically supported by a relevant degree or experience in library science, information management, or data analytics. Familiarity with taxonomy management tools (such as PoolParty, Smartlogic, or Synaptica), content management systems, and standards like SKOS is highly valued. Excellent analytical thinking, attention to detail, and communication skills help in articulating complex classification schemes and collaborating cross-functionally. These abilities are vital for ensuring organized, efficient information retrieval and workflow optimization across an organization.

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Taxonomy Analyst jobs near you
Infographic showing various Taxonomy Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $65,589 per year, or $31.5 per hour.
Taxonomy Analyst (Dutch Speaker)

Taxonomy Analyst (Dutch Speaker)

AgileEngine

Los Angeles, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Taxonomy Analyst with Dutch fluency to review, annotate, and classify high-volume job and resume datasets according to strict taxonomy guidelines for an HR tech platform serving the Netherlands and Belgium. You will standardize job titles, map occupations, validate metadata, and perform systematic data cleanup while ensuring cultural, linguistic, and regional relevance across Dutch-speaking markets. The role requires outstanding attention to detail, sharp pattern recognition, and deep knowledge of regional language nuances.
WHAT YOU WILL DO
- Review, annotate, and classify high-volume datasets (job descriptions, resumes, and candidate profiles) aligning with established taxonomy guidelines;
- Support taxonomy operations by standardizing job titles, mapping occupations, and validating complex metadata to ensure consistent and accurate system outputs;
- Identify linguistic or structural data patterns;
- Perform systematic data cleanup;
- Handle validation tasks on large-scale datasets;
- Cross-reference and validate Dutch content, ensuring regional relevance across the Netherlands and Belgium;
- Handle Flemish nuances and Netherlands Dutch professional terminology;
- Communicate data insights;
- Track edge cases;
- Provide written feedback on guidelines in English via Slack and team syncs.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3+ years of proven experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation;
- Native-level fluency in Dutch;
- Strong professional communication skills in English (written and spoken) for daily team collaboration and data feedback;
- Outstanding attention to detail, sharp pattern recognition skills, and the ability to exercise sound judgment when handling ambiguous data points;
- Extensive experience reviewing and navigating high-volume, complex datasets.
NICE TO HAVES
- Deep market knowledge of the professional and recruitment landscapes in the Netherlands and/or Belgium (Flemish market);
- Specialized background or knowledge in HR / job taxonomy (occupational mapping, labor market frameworks like ESCO);
- Proficiency with Excel, Google Sheets, or basic SQL queries;
- Hands-on experience working with LLMs / AI tools (e.g., ChatGPT, Gemini, Claude) for data curation, model evaluation, or prompt validation.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it's a match, you'll receive an offer.

Apply