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Volunteer Veterinary Data Analysis Jobs (NOW HIRING)

Texas A&M Veterinary Medical Diagnostic Laboratory As the nation's largest most comprehensive ... Provide leadership and strategic direction for data analysis activities across a portfolio of ...

Texas A&M Veterinary Medical Diagnostic Laboratory As the nation's largest most comprehensive ... Provide leadership and strategic direction for data analysis activities across a portfolio of ...

Conducts independent analysis reviewing data trends to develop improved automation in support of ... Bilingual preferred (English and Spanish) Volunteers of America is an Equal Opportunity employer.

Data Analyst

Los Angeles, CA · On-site

$71K - $75K/yr

Conducts independent analysis reviewing data trends to develop improved automation in support of ... Bilingual preferred (English and Spanish) Volunteers of America is an Equal Opportunity employer.

Who we are The Veterinary Medical Teaching Hospital (VMTH) includes theSmall Animal Hospitaland ... Data Collection and Analysis: Collects and validates data from the EMR and operational sources.

Who we are The Veterinary Medical Teaching Hospital (VMTH) includes theSmall Animal Hospitaland ... Data Collection and Analysis: Collects and validates data from the EMR and operational sources.

Enterprise Data Analyst

Columbia, MO · On-site

$69K - $86K/yr

Responsible for leveraging data analysis, visualization, and insights to drive informed business ... Health, Dental, Voluntary Vision and Prescription Drug Insurance * Savings and Profit Sharing ...

Python for data analysis(pandas,numpy) -clean, reproducible code inJupyteror similar environments ... Dental, and Voluntary Disability coverage 401(k) with employer match and Life Insurance ...

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Volunteer Veterinary Data Analysis information

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How much do volunteer veterinary data analysis jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for volunteer veterinary data analysis in the United States is $15.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.

What are some common challenges faced in a volunteer veterinary data analysis role, and how can I prepare for them?

One of the main challenges in a volunteer veterinary data analysis role is working with incomplete or inconsistent datasets, as information may be collected by various team members with differing protocols. You may also need to adapt quickly to new veterinary terminology and software tools used for data management. To prepare, familiarize yourself with common veterinary data formats, brush up on spreadsheet and database skills, and be proactive in communicating with veterinary professionals to clarify data sources and requirements. Collaboration and flexibility are key to ensuring your analyses effectively support the organization's animal care goals.

What are Volunteer Veterinary Data Analysts?

Volunteer Veterinary Data Analysts are individuals who support veterinary organizations or research projects by collecting, organizing, and interpreting animal health data on a volunteer basis. Their work helps inform decisions about animal care, disease prevention, and treatment outcomes. They may assist in managing databases, analyzing trends, and producing reports that contribute to animal welfare initiatives. These roles are often unpaid and can be remote or on-site, depending on the organization's needs.

What is the difference between Volunteer Veterinary Data Analysis vs Volunteer Veterinary Research Assistant?

AspectVolunteer Veterinary Data AnalysisVolunteer Veterinary Research Assistant
Required CredentialsBasic veterinary knowledge, data analysis skillsVeterinary or biological sciences background, research experience
Work EnvironmentData centers, offices, remote analysisLaboratories, field sites, research facilities
Employer & Industry UsageAnimal health organizations, research institutionsUniversities, research labs, veterinary clinics
Common Search & ComparisonData analysis tasks, veterinary data rolesResearch support, laboratory assistance

Volunteer Veterinary Data Analysis focuses on analyzing veterinary data sets to support animal health research, requiring data skills and veterinary knowledge. Volunteer Veterinary Research Assistant involves hands-on research support in labs or fieldwork, often needing biological or veterinary background. Both roles contribute to veterinary science but differ in daily tasks and environment.

What are the key skills and qualifications needed to thrive as a Volunteer Veterinary Data Analyst, and why are they important?

To thrive as a Volunteer Veterinary Data Analyst, you need a solid understanding of data analysis, statistics, and knowledge of veterinary or animal health concepts, often supported by relevant coursework or experience. Familiarity with data management tools such as Excel, R, or Python, and experience with veterinary information systems or databases, are typically required. Attention to detail, analytical thinking, and effective communication skills help convey findings to veterinary teams and stakeholders. These abilities are crucial for extracting insights from data that inform animal care strategies, research, and organizational decision-making.
More about Volunteer Veterinary Data Analysis jobs
What cities are hiring for Volunteer Veterinary Data Analysis jobs? Cities with the most Volunteer 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 Volunteer Veterinary Data Analysis jobs? States with the most job openings for Volunteer Veterinary Data Analysis jobs include:
What job categories do people searching Volunteer Veterinary Data Analysis jobs look for? The top searched job categories for Volunteer Veterinary Data Analysis jobs are:
Infographic showing various Volunteer Veterinary Data Analysis job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $32,905 per year, or $15.8 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

192nd of 536 rated colleges and universities


Job description

Job Title

Lead Data Analyst

Agency

Texas A&M Agrilife Research

Department

Dallas

Proposed Minimum Salary

Commensurate

Job Location

Dallas, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service

  • Texas A&M AgriLife Research

  • College of Agriculture and Life Sciences at Texas A&M University

  • Texas A&M Forest Service

  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about joining AgriLife!

Position Information

Job Summary:

The Lead Data Analyst, under general direction, serves as a technical lead on complex data projects. Provides technical oversight for the application of and compliance with technical standards. Completes reports and summaries for management and users including project status reports, problem reports, and progress summaries.

Responsibilities:

  • Provide leadership and strategic direction for data analysis activities across a portfolio of public health and nutrition research projects, ensuring alignment with organizational and research goals.

  • Supervise, mentor, and support data analysts and junior statisticians; delegate tasks, facilitate professional development, and provide technical guidance and quality assurance.

  • Oversee the design, implementation, and continual optimization of data analysis workflows, ensuring best practices are established and maintained across projects.

  • Review and document data structures to support both current and future research objectives at the program and institutional level.

  • Lead the development and application of advanced statistical models and methodologies, including but not limited to: multilevel modeling, mixed models for clustered randomized trials, longitudinal data analysis, and other advanced statistical techniques for complex datasets.

  • Oversee the design and execution of statistical analysis plans, including power and sample size calculations, for diverse study designs (e.g., randomized controlled trials, community-randomized trials, longitudinal cohorts) and ensure these meet funding requirements and research objectives.

  • Supervise the establishment, maintenance, and improvement of data collection systems; direct data collection and quality assurance activities, including programming forms, monitoring data integrity, and developing data cleaning procedures.

  • Coordinate acquisition, cleaning, merging, and management of data from multiple secondary sources (local, state, and national databases) and ensure robust data governance and compliance with relevant privacy and security policies.

  • Develop quality control assessments to identify and resolve data issues, implement process improvements, and train team members on best practices in data management and cleaning.

  • Oversee and ensure the quality of documentation for data workflows, cleaning, and analysis procedures, and ensure reproducibility and transparency across all stages of the analytic process.

  • Prepare or review reports, manuscripts, presentations, and visualizations of analytic findings for internal and external use; ensure clarity, accuracy, and suitability for various audiences.

  • Collaborate with principal investigators, multidisciplinary research teams, and external partners (including funding agencies and data stewards) to interpret findings, advise on data strategy, and translate results into actionable insights.

  • Lead the development of statistical and analytic sections of grant proposals, supporting funding initiatives and program growth.

  • Participate in strategic planning for the data analytics function and represent the data analysis team in broader organizational initiatives.

  • Performs other duties as assigned.

Required Qualifications:

  • Bachelor's degree in a relevant field (e.g., epidemiology, public health, biostatistics, nutrition, statistics, clinical research) or equivalent combination of education and experience.

  • At least 6 years of professional experience in data collection and analysis, including direct experience with statistical modeling and management of research datasets.

  • Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization tools (e.g., Tableau, Power BI), and database applications.

  • Demonstrated experience leading the preparation of research manuscripts and securing grant funding.

  • Excellent verbal and written communication skills with ability to effectively communicate with faculty and staff.

  • Detail oriented and ability to organize tasks and prioritize work with minimal supervision.

  • Ability to multi-task and work cooperatively with others.

Preferred Qualifications

  • Master's degree or Ph.D. in nutrition epidemiology or related field (e.g., public health, nutrition, statistics, or relevant education and experience meeting job expectations).

  • At least one year of related experience.

  • Experience working with and accessing local, state and national data sets (e.g., Texas health data, NHANES, WHI, Framingham Heart Study, etc.).

  • Experience developing valid, reliable composite scoring and screening instruments (e.g., Life's Simple 7; dietary screeners; etc.).

  • Knowledge and understanding of the mission and role of the Land Grant University System, including community-campus partnership and the Extension system.

What You Need to Know

Salary: Compensation is commensurate with the candidate's qualifications.

Flexible Work Arrangements: Flexible work schedules and remote work options may be available for this position, depending on the nature of the role and employee eligibility, in accordance with AgriLife Alternate Work Location Procedures.

Important Notice Regarding H1-B Sponsorship: Your employment at Texas A&M AgriLife may require nonimmigrant sponsorship. A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Texas A&M AgriLife will NOT pay this fee. If the fee is imposed on your petition, this offer of employment will be revoked. If actions taken during your employment result in the imposition of this fee, your employment will be terminated. To the extent that this statement conflicts with any applicable System or member Policy, Regulation, or Rule, this statement will control. We recommend that you consult with your private immigration counsel at your own expense regarding potential implications.

In addition, on January 27, 2026, Texas Governor Abbott issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.

Benefits and Leave:

  • Health, dental, vision, life and long-term disability insurance (AgriLife contributes to premiums)

  • 12-15 annual paid holidays

  • Up to 8 hours/month sick leave and at least 8 hours/month vacation

  • Automatic enrollment in the Teacher Retirement System of Texas

  • Employee Wellness Initiative

  • Access to ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs

How to Apply

Applications must include all job application data or a complete resume. Incomplete applications may be rejected. Applicants are encouraged to upload a resume or use LinkedIn to prepopulate application fields.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.


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