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Internship Taxonomy Analyst Jobs (NOW HIRING)

Participate in clinical operations and procedures, including taxonomy, anatomy, feather structure ... Prepare slides for laboratory examination and analysis. Internship Benefits * Attend and observe ...

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... internships) in data science and machine learning, including production deployments. * 3+ years of ... taxonomy design, and classification frameworks. * Strong knowledge of statistical analysis, machine ...

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... internships) in data science and machine learning, including production deployments. * 3+ years of ... taxonomy design, and classification frameworks. * Strong knowledge of statistical analysis, machine ...

Supporting analysis and developing actions to address operational gaps. * Supporting requirements ... Developing and driving model taxonomy and ontology consensus with stakeholders * Estimating ...

Supporting analysis and developing actions to address operational gaps. * Supporting requirements ... Developing and driving model taxonomy and ontology consensus with stakeholders * Estimating ...

The role applies SEO, accessibility, UX principles, and analytics insights to continuously improve ... taxonomy within the CMS. • Conduct regular content audits to ensure accuracy, relevance, and ...

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Internship Taxonomy Analyst information

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How much do internship taxonomy analyst jobs pay per year?

As of Aug 4, 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 does an internship taxonomy analyst 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.
More about Internship Taxonomy Analyst jobs
What cities are hiring for Internship Taxonomy Analyst jobs? Cities with the most Internship Taxonomy Analyst job openings:
What are the most commonly searched types of Taxonomy Analyst jobs? The most popular types of Taxonomy Analyst jobs are:
What states have the most Internship Taxonomy Analyst jobs? States with the most job openings for Internship Taxonomy Analyst jobs include:
Infographic showing various Internship Taxonomy Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Data Analyst, Advertising Insights & Strategy

MediaRadar

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

Location: Remote US, NYC preferred (Eastern or Central time zone)
About MediaRadar
MediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business.
Role Overview
The Data Analyst, Advertising Insights & Strategy is an entry-level role built for someone early in their career who wants to grow into a client-facing analyst. You'll support our custom analytics engagements, including our work for major enterprise accounts, by pulling and organizing enriched competitive advertising data, surfacing creative assets, and building the first pass of analysis that our client-facing analysts use to shape their recommendations. This role is horizontal across the business, meaning you'll support multiple accounts and projects rather than a single client, and it's designed to build the skills needed to grow into a more senior, client-facing analyst role over time.
Requirements
Responsibilities
Data Analysis & Reporting Support (≈60%)
  • Data Retrieval: Pull enriched competitive advertising datasets (spend, placement, and creative data) from MediaRadar's internal tools for assigned accounts and projects.
  • Share-of-Spend Analysis: Analyze share-of-spend activity across a brand and its competitors to identify which advertisers are gaining or losing ground.
  • Creative Surfacing: Run scripts and use internal tools to surface top-contributing creative assets tied to spend activity, rather than locating them manually.
  • Early Hypothesis Development: Extract metadata and themes from creative and spend data to build an early, data-backed hypothesis (e.g., "advertisers are leaning into rewards messaging this quarter") that senior analysts can validate and build into a client-ready story.
  • Quality Assurance: Check data for anomalies or inconsistencies before handing off analysis to the client-facing analyst team.

Cross-Account Support & Growth (≈40%)
  • Multi-Account Support: Provide analytical support across several accounts and projects rather than a single dedicated client, gaining broad exposure to different verticals and use cases.
  • Frontline Analyst Team Support: Serve as the supporting analyst behind our client-facing team, handling the groundwork so senior analysts can focus on client strategy and delivery.
  • AI-Forward Tooling: Use AI tools, including Claude, as part of your daily workflow to speed up data pulls, first-pass analysis, and reporting - while learning when to rely on it and when to apply your own judgment.
  • Skill Building: Learn MediaRadar's data taxonomy, internal tools, and analytical methodology with the goal of progressing toward a client-facing analyst role.
  • Team Collaboration: Work closely with the analyst and project management team to understand project goals and deliver work on time.

Qualifications
  • Education: Bachelor's degree in Business Analytics, Marketing, Communications, Media, Data Science, or a related field (recent graduates encouraged to apply).
  • Experience: 0-1 years of professional experience; relevant internships, coursework, or project experience in analytics, marketing, or media are a plus. No prior advertising industry experience required.
  • Technical Curiosity: Comfortable working with data and spreadsheets (Excel/Google Sheets); interest in or exposure to data visualization tools (e.g., Tableau) is a plus.
  • AI Fluency: Genuine interest in using AI tools like Claude to work more efficiently, paired with the judgment to know when to double-check its output.
  • Communication: Strong writing and organizational skills; able to summarize findings clearly for a technical, internal audience.
  • Aptitude: Detail-oriented, curious, and eager to learn; comfortable managing a few different assignments at once and asking questions when needed.

Preferred Skills
  • Analytical Coursework or Projects: Prior exposure to market research, media, or advertising concepts through coursework, internships, or personal projects.
  • Growth Mindset: Interest in eventually moving into a client-facing analyst or strategy role.
  • Adaptability: Comfortable jumping between different accounts and types of analysis rather than specializing in one vertical right away.

Benefits
In addition to career progression, training and development, and an excellent work/life balance, future Radarians can expect a great benefits package that includes:
  • Medical, Dental & Vision Insurance
  • 401k with Company Match
  • Flexible PTO
  • Commuter Benefits
  • Gym Discounts
  • Summer Fridays

At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.
In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.
We are committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at careers@mediaradar.com .
We're excited to meet people who share our values and want to build the future with us!