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Internship Taxonomy Analyst Jobs (NOW HIRING)

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77K - $108K/yr

Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy ... Provides guidance and best practice advice to data science interns. Qualifications * Bachelor ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy ... Provides guidance and best practice advice to data science interns. Qualifications * Bachelor ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77K - $108K/yr

Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy ... Provides guidance and best practice advice to data science interns. * Bachelor's Degree required;

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$73.3K

$130K

How much do internship taxonomy analyst jobs pay per year?

As of Jun 8, 2026, the average yearly pay for internship taxonomy analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What kinds of projects do Internship Taxonomy Analysts typically work on, and how do these projects impact the larger organization?

Internship Taxonomy Analysts are often involved in projects that focus on organizing, categorizing, and managing large sets of data or content. These projects may include building or refining classification systems, tagging digital assets, or supporting search and metadata strategies. Their work directly impacts how efficiently teams can find and use information, improving overall productivity and data consistency across the organization. Collaborating with data scientists, content strategists, and IT professionals is common, providing interns with valuable cross-functional experience.

What is an Internship Taxonomy Analyst?

An Internship Taxonomy Analyst is a role typically suited for students or recent graduates interested in organizing and classifying data, especially related to job functions, skills, or academic subjects. They assist in developing and maintaining taxonomies—structured systems that categorize information to improve searchability and data management. Internship Taxonomy Analysts often work in teams, using research and analytical skills to ensure data is accurately classified and aligned with organizational standards. This internship provides valuable experience in data analysis, information science, and project coordination, serving as a stepping stone to more advanced roles in data management or taxonomy. Their work supports better organization and retrieval of information within a company or digital platform.

What are the key skills and qualifications needed to thrive as an Internship Taxonomy Analyst, and why are they important?

To thrive as an Internship Taxonomy Analyst, you need strong analytical skills, attention to detail, and a background in data science, information management, or library sciences. Familiarity with taxonomy management tools, database systems, and metadata standards, as well as proficiency in Excel or similar data tools, is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams. These skills are crucial for accurately organizing and categorizing information, ensuring data consistency, and supporting organizational knowledge management.
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Internship Taxonomy Analyst jobs near you
Infographic showing various Internship Taxonomy Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 8% Internship, 48% Full Time, 37% Part Time, and 6% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Semantic Solutions Analyst

Semantic Solutions Analyst

Enterprise Knowledge

Arlington, VA • On-site

$95K - $135K/yr

Full-time

Posted yesterday

Job description

Enterprise Knowledge (EK) is hiring for a full-time Semantic Solutions Analyst to join our growing Knowledge and Data Services Sector. In this role, you will lead knowledge, data, and AI initiatives, solving complex problems and delivering effective solutions. You'll work with Fortune 500 and global clients to develop strategies, guide implementation, and apply agile principles to translate business needs into clear, actionable plans.
As with all of our positions, we seek independent thinkers with exceptional written and oral communication skills. This position demands a deep understanding of business strategy and development, experience with knowledge & data management technology solutions, business analysis, and consulting skills.
As an EK Senior Analyst, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.
Responsibilities will include:
  • Support the design and implementation of enterprise knowledge, data management, and AI solutions
  • Assist in gathering and analyzing client requirements, business processes, and system landscapes
  • Contribute to the development of solution recommendations, documentation, and deliverables
  • Support workshops, stakeholder interviews, and working sessions to help define client needs and project goals
  • Assist in interpreting and documenting semantic models, taxonomies, ontologies, and related solutions
  • Collaborate with cross-functional teams to support project milestones and deliverables in an agile environment
  • Develop client-facing materials including presentations, reports, and training documentation
  • Participate in client meetings and internal discussions, contributing insights and taking detailed notes
  • Support testing, implementation, and validation of solutions to ensure alignment with client requirements
  • Contribute to internal initiatives, knowledge sharing, and practice development efforts
  • Continuously develop consulting, communication, and technical skills

Requirements
As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.
This hybrid role requires that you live within a comfortable commutable distance of our Arlington, VA office and that you are willing to be on-site 3 days a week.
Required Skills and Experience:
  • 2 - 5 years of relevant experience (internships, academic projects, or early professional experience in consulting, data, or technology environments)
  • Bachelor's degree in a relevant field (e.g., Information Science, Data Analytics, Business, Computer Science, or similar)
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work both independently and collaboratively in a fast-paced environment
  • Strong attention to detail and organizational skills
  • Interest in knowledge management, data, AI, and semantic technologies

Preferred Skills and Experience:
  • Exposure to knowledge management, data management, or semantic technologies (through coursework, internships, or projects)
  • Familiarity with tools such as Excel, PowerPoint, JIRA, Confluence, or similar collaboration tools
  • Experience supporting research, data analysis, or business analysis efforts
  • Basic understanding of agile methodologies
  • Experience with taxonomy, ontology, or metadata concepts (academic or practical)
  • Interest in consulting, facilitation, or client-facing work

Salary Information:
EK considers a broad range of factors in considering employee salary including a candidate's skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $95,000 to $135,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate's qualifications.
Data Privacy Notice:
Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.
We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice.
You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.
By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at careers@enterprise-knowledge.com.

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