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Contractual Veterinary Data Analysis Jobs (NOW HIRING)

Covetrus

Veterinary Taxonomy Analyst

Portland, ME · On-site

This role involves collaborating with business intelligence and data engineering teams to design ... analyze large datasets from veterinary practice management systems using SQL. • Build and ...

Covetrus, Inc.

Taxonomy Analyst

Chicago, IL · On-site

... 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 ...

TalentBurst, Inc.

Data Analyst 1

Fairport, NY

Data Analysis " Review and analyze historical thin film coating data. " Develop statistical limits ... have direct/contractual relationships with all our clients. Please visit our website www ...

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How much do contractual veterinary data analysis jobs pay per year?

As of Jun 10, 2026, the average yearly pay for contractual veterinary data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Contractual Veterinary Data Analysis vs Veterinary Data Analyst?

AspectContractual Veterinary Data AnalysisVeterinary Data Analyst
CredentialsTypically requires veterinary or data analysis certificationsRequires data analysis certifications, often with veterinary knowledge
Work EnvironmentFreelance or project-based, often remote or client sitesFull-time or part-time in healthcare or research organizations
Employer & IndustryClients in veterinary clinics, research, or pharmaceutical companiesVeterinary hospitals, research institutions, or biotech firms
Search & Comparison IntentLooking for freelance or project-based veterinary data workSeeking full-time veterinary data analysis roles

Contractual Veterinary Data Analysis involves freelance or project-based work, often with multiple clients, requiring flexibility and specific veterinary data skills. Veterinary Data Analysts typically work full-time within organizations, focusing on ongoing data management and analysis. Both roles require similar certifications but differ mainly in employment structure and work environment.

What cities are hiring for Contractual Veterinary Data Analysis jobs? Cities with the most Contractual Veterinary Data Analysis job openings:
What are the most commonly searched types of Veterinary Data Analysis jobs? The most popular types of Veterinary Data Analysis jobs are:
What states have the most Contractual Veterinary Data Analysis jobs? States with the most job openings for Contractual Veterinary Data Analysis jobs include:
Contractual Veterinary Data Analysis jobs near you
Veterinary Taxonomy Analyst

Veterinary Taxonomy Analyst

Covetrus

Portland, ME • On-site

Full-time

Posted 7 days ago

Covetrus rating

6.9

Company rating: 6.9 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

215th of 339 rated logistics

Job description

Job Summary:
Covetrus is seeking a detail-oriented Veterinary Taxonomy Analyst to help translate complex veterinary clinic data into actionable insights. This role involves collaborating with business intelligence and data engineering teams to design dashboards, analyze large datasets, and support data integrity initiatives.
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.
Qualifications:
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.
• Knowledge of healthcare or veterinary data standards and compliance considerations.
Company:
Covetrus specializes in the production and distribution, inventory management, software and prescription management for veterinary care. Founded in 2018, the company is headquartered in Portland, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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