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Entry Level Veterinary Data Analysis Jobs (NOW HIRING)

Altasciences

Veterinary Technician

Everett, WA · On-site

$24 - $30/hr

About the Role This is an entry level Veterinary Technician position that requires the employee to ... Contributes to data collection, aiming to achieve high data quality. * Assists Research Associates ...

Altasciences

Veterinary Technician

Everett, WA

$24 - $30/hr

About the Role This is an entry level Veterinary Technician position that requires the employee to ... Contributes to data collection, aiming to achieve high data quality. * Assists Research Associates ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Perform root cause analysis on performance and operational issues using data insights. Work with cross-functional teams to gather requirements and translate data into actionable insights. Maintain ...

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Entry Level Veterinary Data Analysis information

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How much do entry level veterinary data analysis jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level veterinary data analysis in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What are some typical challenges faced by entry level veterinary data analysts, and how can new hires effectively address them?

Entry level veterinary data analysts often face challenges such as learning to interpret complex animal health datasets, adapting to specialized veterinary terminology, and ensuring data accuracy while working with large volumes of information. New hires can overcome these hurdles by proactively seeking mentorship from experienced colleagues, participating in training sessions on veterinary software, and regularly reviewing industry guidelines for data management. Collaboration with veterinarians and clinical staff is also key to understanding the context of the data and producing actionable insights.

What are the key skills and qualifications needed to thrive as an entry level veterinary data analyst?

To thrive as an Entry Level Veterinary Data Analyst, you need a background in statistics, biology or animal science, and experience with data analysis methods, typically supported by a relevant degree. Familiarity with data analysis tools like Excel, R, or Python, and veterinary management systems is often required. Attention to detail, problem-solving, and effective communication are important soft skills for interpreting data and sharing insights with veterinary teams. These skills and qualities are essential for generating accurate, actionable data that can improve animal care outcomes and support veterinary practice decision-making.

What is entry level veterinary data analysis?

Entry level veterinary data analysis involves collecting, organizing, and interpreting data related to animal health, veterinary treatments, and clinical outcomes. Professionals in this role often work with electronic medical records, lab results, and research data to identify trends and support evidence-based decision-making in veterinary settings. They may assist veterinarians and researchers by preparing reports, conducting basic statistical analyses, and ensuring data accuracy. This position typically requires strong analytical skills, attention to detail, and familiarity with data management software.

What is the difference between Entry Level Veterinary Data Analysis vs Veterinary Data Technician?

AspectEntry Level Veterinary Data AnalysisVeterinary Data Technician
Required CredentialsBachelor's degree in veterinary science, biology, or related field; basic data analysis skillsAssociate's or Bachelor's degree in veterinary technology or related field; familiarity with veterinary software
Work EnvironmentOffice or laboratory setting, analyzing veterinary data and reportsVeterinary clinics or hospitals, assisting with data entry and record keeping
Employer & Industry UsageResearch institutions, veterinary clinics, pet health companiesVeterinary clinics, animal hospitals, clinics

Entry Level Veterinary Data Analysis involves analyzing veterinary data to support research and clinical decisions, requiring data skills and a relevant degree. Veterinary Data Technicians focus on managing veterinary records and assisting in clinical settings, often with specialized veterinary training. Both roles are essential in veterinary industry operations but differ mainly in their focus and required credentials.

More about Entry Level Veterinary Data Analysis jobs
What cities are hiring for Entry Level Veterinary Data Analysis jobs? Cities with the most Entry Level 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 Entry Level Veterinary Data Analysis jobs? States with the most job openings for Entry Level Veterinary Data Analysis jobs include:
What job categories do people searching Entry Level Veterinary Data Analysis jobs look for? The top searched job categories for Entry Level Veterinary Data Analysis jobs are:
Entry Level Veterinary Data Analysis jobs near you
Infographic showing various Entry Level Veterinary Data Analysis job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Contract, and 5% Nights. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Veterinary Taxonomy Analyst

Covetrus North America LLC

Lexington, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

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.
  • 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.

Apply