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Remote Veterinary Data Analysis Jobs (NOW HIRING)

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build ...

The Hartford

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Associate Bus Data Analysis - GA09AN We're determined to make a difference and are proud to be an ... Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement.

NuView Analytics

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities ... Ad-hoc data analysis * Deep data investigation * Data visualization * Data integration * ETL ...

Akraya Inc.

Data Analysis Lead : 26-01763

Santa Clara, CA · On-site +1

$60 - $66/hr

Remote Pay Range: $60 - $65/hr on W2 Job Summary: We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and execution from the United States, preferably ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... Ad-hoc data analysis * Deep data investigation * Data visualization * Data integration * ETL ...

DivIHN

Senior Data Analyst (Remote)

$88K - $111K/yr

Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be ... Perform complex data analysis, profiling, validation, and reconciliation activities. * Develop SQL ...

BluZinc

Director Business Intelligence Data Analysis

NY · On-site +1

$150K - $200K/yr

BluZinc is exclusively hiring a remote UAS based Director or Head of Business Intelligence and Data Analytics for a $100MM+ digital eLearning, mobile app, and online coaching business.Reporting to ...

Mercor

Data Analysis Expert - Evaluator

San Francisco, CA · Remote

$80 - $120/hr

Position: Data analysis / quantitative readouts Evaluator Type: Contract Compensation: $80-$120 ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

PatientPoint

REMOTE - Sr Data Analyst

$73K - $136K/yr

Remote Travel Required : 2-5 Weeks Per Year We are seeking a highly skilled Senior Data Analyst to ... Strong understanding of data modeling, statistical analysis and data visualization * Proficiency in ...

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Remote Veterinary Data Analysis information

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$10

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$83

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

As of Jul 19, 2026, the average hourly pay for remote veterinary data analysis in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

Is it possible to get a remote job as a data analyst?

Remote data analyst positions are widely available across various industries, including veterinary data analysis. These roles typically require strong skills in data management, statistical tools, and communication, and often offer flexible schedules. Many companies now hire remotely, making it feasible to work from anywhere with internet access.

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

To thrive as a Remote Veterinary Data Analyst, you need a strong background in veterinary science or animal health, combined with expertise in data analysis and statistical methods. Familiarity with data analytics tools such as Excel, R, Python, and veterinary practice management software is typically required. Excellent attention to detail, critical thinking, and effective communication skills are important soft skills for interpreting data and collaborating with remote teams. These competencies ensure accurate data-driven insights that improve animal health outcomes and support informed decision-making in the veterinary field.

How to become a veterinary data analyst?

To become a veterinary data analyst, you typically need a bachelor's degree in data science, statistics, biology, or a related field, along with strong analytical skills and experience with data analysis tools like Excel, SQL, or Python. Gaining knowledge of veterinary medicine and animal health data is beneficial, and some roles may require advanced degrees or certifications in data analysis or veterinary sciences.

Is there a VA for data analysts?

A virtual assistant (VA) for data analysts can provide support with tasks such as data entry, report generation, and scheduling. Many remote data analysts use tools like Excel, SQL, and data visualization software, and some may hire VAs to help manage administrative or repetitive tasks to increase efficiency.

How does a remote veterinary data analyst typically collaborate with veterinarians and other team members?

As a remote veterinary data analyst, you will frequently collaborate with veterinarians, researchers, and IT professionals through virtual meetings, shared databases, and project management tools. Effective communication is crucial, as you'll often translate complex data findings into actionable insights for clinical teams. You'll participate in regular team updates, contribute to joint research initiatives, and may be involved in training staff on data interpretation. This collaborative approach ensures that analytical results directly support animal health outcomes and organizational goals.

What is remote veterinary data analysis?

Remote veterinary data analysis involves using data analytics tools and software to interpret and evaluate animal health data from a distance, rather than being physically present at a clinic or laboratory. Professionals in this field analyze medical records, lab results, and other animal health data to help veterinarians make informed decisions about diagnosis, treatment, and care. This remote work setup allows for collaboration with veterinary teams and researchers across different locations, often using cloud-based platforms and telecommunication tools. The role requires strong analytical skills, familiarity with veterinary terminology, and proficiency with data management software.

What is the difference between Remote Veterinary Data Analysis vs Remote Veterinary Technician?

AspectRemote Veterinary Data AnalysisRemote Veterinary Technician
CredentialsData analysis certifications, veterinary knowledgeVeterinary technician license, certification
Work EnvironmentRemote, data-focused rolesRemote or clinic-based, patient care
Industry UsageData analysis, research, reportingAnimal care, clinical support
Job FocusAnalyzing veterinary data, reportsAssisting in animal treatment, patient monitoring

Remote Veterinary Data Analysis involves analyzing veterinary data and reports, often requiring data analysis skills and veterinary knowledge. In contrast, Remote Veterinary Technicians focus on supporting animal care and clinical tasks, typically requiring veterinary technician credentials. Both roles may be remote but serve different functions within the veterinary industry.

Can you work fully remote as a data analyst?

Remote veterinary data analysts can often work fully remote, especially if the employer offers flexible work arrangements and the role involves data analysis tools like SQL, Excel, or specialized software. However, some positions may require occasional on-site visits or collaboration, depending on the company's policies and the nature of the data involved.
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What job categories do people searching Remote Veterinary Data Analysis jobs look for? The top searched job categories for Remote Veterinary Data Analysis jobs are:
Remote Veterinary Data Analysis jobs near you

Technical Lead - Data Analysis

DRC Systems

Boston, MA • Remote

$50 - $54/hr

Contractor

Re-posted 28 days ago

Job description

Title – Technical Lead – Data Analysis
Location – Boston, MA - Remote
JD - Key Skills

  • Advanced SQL & Data Modeling – Proven ability to design robust data models, write complex SQL, and build performant analytics pipelines.
  • Data Visualization & Storytelling – Ability to translate complex healthcare data into actionable insights using dashboards and stakeholder-ready visualizations.
  • Healthcare Analytics & Value-Based Care Expertise – Strong hands-on experience with claims and clinical data, value-based care metrics, and healthcare quality measures.

Must Have Skills

  • Healthcare Data Experience
    • 5+ years of hands-on experience working with healthcare data
    • Deep expertise in claims and/or clinical data
    • Strong understanding of medical economics, risk adjustment, quality measures, and population health analytics
  • Value-Based Care
    • Minimum 2+ years of experience supporting value-based care use cases
    • Ability to act as a Value-Based Care SME in internal and client-facing discussions
  • Technical & Analytics Skills
    • Advanced SQL (complex joins, window functions, performance tuning)
    • Strong data modeling skills to support analytics and BI developers
    • Experience creating custom tables, views, and stored procedures (preferably in AWS Redshift)
    • Ability to support ad hoc analytics and complex customer requests
  • Cloud & BI Tools
    • Hands-on experience with AWS data stack: Redshift, Athena, S3
    • Experience building and delivering dashboards using Amazon QuickSight
  • Client & Stakeholder Engagement
    • Comfortable engaging directly with healthcare customers
    • Strong ability to translate business and value-based goals into actionable analytics deliverables
    • Experience presenting insights clearly to technical and non-technical stakeholders Good to Have Skills
  • Modern Data & Analytics Tools
    • Experience with dbt, Snowflake, or Looker
    • Familiarity with data pipelines and SaaS-scale analytics platforms
  • Programming & Automation
    • Ability to write and troubleshoot Python for data analysis or automation
    • Familiarity with GitHub and CI/CD tools such as Jenkins
  • Healthcare Interoperability
    • Understanding of FHIR or other healthcare interoperability standards
  • AI & Advanced Analytics
    • Experience integrating or validating AI-powered coding or analytics tools
    • Exposure to model QA, validation, or analytics governance
  • Tooling & Collaboration
    • Experience using Jira and Confluence in an agile environment
  • Industry Exposure
    • Prior experience working at a healthcare data vendor, ACO/CIN, payer, or healthcare SaaS company
  • AWS Ecosystem
    • Broader exposure to AWS services beyond core analytics stack