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Data Taxonomy Jobs (NOW HIRING)

Covetrus, Inc.

Taxonomy Analyst

Chicago, IL · On-site

Build and understand taxonomy development and consumption through various data pipelines ... Perform data mapping using various product and patient demographic taxonomies. * Partner with ...

Scale AI

Strategic Projects Lead - Coding

Manhattan, NY · On-site

... data taxonomy best suited to improving model performance based on customer needs • Build out pipeline infrastructure to ensure quality and efficiency • Train, coach, and manage dynamic and global ...

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Data Taxonomy information

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 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 is data taxonomy?

Data taxonomy is the process of classifying and organizing data into hierarchical categories or groups based on shared characteristics or attributes. This structure helps organizations manage, retrieve, and analyze data more efficiently by making it easier to find and use relevant information. Data taxonomy is essential for data governance, improving search and discovery, and supporting compliance with data policies. It is commonly used in various industries to ensure consistency and clarity in data handling and reporting.

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.

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What job categories do people searching Data Taxonomy jobs look for? The top searched job categories for Data Taxonomy jobs are:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Taxonomy Analyst

Taxonomy Analyst

Covetrus, Inc.

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Covetrus rating

6.9

Company rating: 6.9 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

209th of 337 rated logistics

Job description

Covetrus is a global animal-health technology and services leader dedicated to empowering veterinary practice partners to drive improved health and financial outcomes. We bring together products, services, and technology into a single platform that connects our customers to the solutions and insights they need to work best. Our passion for the well-being of animals and those who care for them drives us to advance the world of veterinary medicine.
Summary
We are looking for a curious, detail-oriented Taxonomy Analyst to join our team and help translate complex veterinary clinic data into actionable insights. This role collaborates with business intelligence and data engineering, making it ideal for someone with a passion for both animals and analytics. You will collaborate closely with software engineers, veterinary SMEs, and business stakeholders to surface insights that drive better outcomes for our hospital partners, clients, and patients.
Essential Duties and Responsibilities
  • Design, build, and maintain dashboards and reports that support product insights, data quality, and financial performance.
  • Query, clean, and analyze large datasets from veterinary practice management systems using SQL.
  • Build and understand taxonomy development and consumption through various data pipelines.
  • Perform data mapping using various product and patient demographic taxonomies.
  • Partner with software engineers to translate clinical workflows into data requirements.
  • Identify trends, anomalies, and opportunities in hospital performance data and communicate findings to both technical and non-technical audiences.
  • Support data integrity initiatives, including data validation, reconciliation, and documentation of data pipelines.
  • Develop a deep understanding of the veterinary business ecosystem, including how hospital data flows through scheduling, invoicing, medical records, and client communications.
  • Collaborate cross-functionally on ad hoc analytical requests from operations, finance, product, and leadership teams.
  • Advance AI tooling initiatives by providing QA for machine learning and normalization model outputs.
  • Contribute to the development of KPIs, metrics frameworks, and data governance standards.

Required
  • 2+ years of experience in a data analyst, business intelligence, or related role.
  • Proficiency in SQL, comfortable with writing complex queries, joins, subqueries, and aggregations.
  • Exceptional communication skills, with a demonstrated ability to explain nuanced veterinary industry concepts to highly technical software engineers and translate technical data constraints back to non-technical stakeholders.
  • Proven ability to work independently, manage competing priorities, and deliver in a fast-paced environment.

Preferred
  • Experience in the veterinary industry, animal health, or related healthcare setting.
  • Strong data visualization skills; experience with tools such as Tableau, Power BI, DataBricks Dashboards.
  • In-clinic experience, whether as a veterinary technician, practice manager, receptionist, or other patient-facing role is a significant plus.
  • Familiarity with veterinary practice management software (e.g., Pulse, Impromed, AVImark, etc).
  • Understanding of the broader veterinary business ecosystem and how hospital data drives outcomes across analytics, client experience, and financial reporting.
  • Experience with Python for data analysis and automation.
  • Experience working with ETL pipelines, data warehouses, or cloud data platforms (e.g., Snowflake, DataBricks, dbt).
  • Knowledge of healthcare or veterinary data standards and compliance considerations.

We offer the following benefits for you to take advantage of while you are here provided you meet the eligibility requirements under each governing program:
  • 401k savings & company match
  • Paid time off
  • Paid holidays
  • Maternity leave
  • Parental leave
  • Military leave
  • Other leaves of absence
  • Health, dental, and vision benefits
  • Health savings accounts
  • Flexible spending accounts
  • Life & disability benefits
  • Identity theft protection
  • Pet insurance
  • Certain positions may include eligibility for a short-term incentive plan

Covetrus is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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