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Entry Level Veterinary Data Analysis Jobs in California

SAIC

TSA On Call Data Collector

Salinas, CA · On-site

$40K/yr

Description SAIC is seeking an entry level Part time on-call Data Technician for upcoming work in ... Reviews collected data to adjudicate any anomalies identified by the site lead/data analysis ...

Altasciences

Veterinary Technician

West Sacramento, CA · On-site

... analysis, fecal floatation, swab sample collection, blood collection, and others at the request of ... Performs routine QC on all paperwork and performs computer entry and/or data retrieval as ...

Altasciences

Veterinary Technician

Sacramento, CA · On-site

... analysis, fecal floatation, swab sample collection, blood collection, and others at the request of ... Performs routine QC on all paperwork and performs computer entry and/or data retrieval as ...

Altasciences

Veterinary Technician

Sacramento, CA · On-site

$24 - $32/hr

... analysis, fecal floatation, swab sample collection, blood collection, and others at the request of ... Performs routine QC on all paperwork and performs computer entry and/or data retrieval as ...

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Entry Level Veterinary Data Analysis information

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.

What are the most commonly searched types of Veterinary Data Analysis jobs in California? The most popular types of Veterinary Data Analysis jobs in California are:
What are popular job titles related to Entry Level Veterinary Data Analysis jobs in California? For Entry Level Veterinary Data Analysis jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Veterinary Data Analysis jobs in California look for? The top searched job categories for Entry Level Veterinary Data Analysis jobs in California are:
Entry Level Veterinary Data Analysis jobs near you
Infographic showing various Entry Level Veterinary Data Analysis job openings in California 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.

AI & GenAI Data Scientist-Senior Associate

Pwc

San Diego, CA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Utilizing programming languages such as Python and C++ to build robust data models
- Managing data pipelines and confirming data quality and integration across platforms
- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
- Conducting complex data analysis to inform strategic decision-making
- Leveraging natural language processing and text analytics for innovative AI applications
- Building and maintaining data infrastructure to support AI-driven automation
- Mentoring junior team members and fostering a collaborative work environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python for complex data analysis and modeling
- Excelling in neural network design and reinforcement learning agents
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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