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Temporary Veterinary Data Analysis Jobs in California

swipejobs LLC

ERP Data Analyst

Orange, CA · On-site

$20 - $22/hr

ERP Data Analyst Fullerton, CA | Monday-Friday | Full-Time | Temp-to-Hire Turn Data Into Better Business Decisions! Are you an analytical problem solver who enjoys working with data, ERP systems, and ...

Corvel

Data Analyst III

Irvine, CA · Hybrid

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Intermediate proficiency in SQL required with the ability to perform stored procedures, temp tables ...

Corvel

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Intermediate proficiency in SQL required with the ability to perform stored procedures, temp tables ...

CorVel Career Site

Data Analyst III

Irvine, CA · Hybrid

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Intermediate proficiency in SQL required with the ability to perform stored procedures, temp tables ...

Aston Carter

Sr Data Analyst

Moorpark, CA · On-site

$50 - $80/hr

Conduct data analysis to identify patterns, inconsistencies, and issues, and provide clear findings ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Addison Group

Financial Data Analyst

Los Angeles, CA · On-site

$38 - $40/hr

Temp with potential conversion Location: Remote Reporting To: VP of Financial Systems and ... Build and maintain Excel-based models, trackers, and reporting tools to support day-to-day analysis ...

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All JobsVeterinary Data Analysis JobsTemporary Veterinary Data Analysis JobsTemporary Veterinary Data Analysis Jobs in California

Temporary Veterinary Data Analysis information

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

AspectTemporary Veterinary Data AnalysisTemporary Veterinary Technician
CredentialsTypically requires data analysis or veterinary-related certificationsRequires veterinary technician certification (CVT, RVT, or VT)
Work EnvironmentPrimarily office or lab settings focused on data managementClinic or hospital settings assisting veterinarians with patient care
Employer & Industry UsageUsed by veterinary clinics, research labs, and data firmsCommonly employed in veterinary clinics, hospitals, and animal care facilities
Search & Comparison IntentOften compared for data-focused roles in veterinary settingsCompared for clinical support roles in veterinary practices

Temporary Veterinary Data Analysis focuses on managing and interpreting veterinary data, requiring analytical skills and related certifications. In contrast, Temporary Veterinary Technician provides hands-on clinical support, requiring veterinary technician credentials. Both roles serve different functions within the veterinary industry but may overlap in temporary or part-time positions.

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 Temporary Veterinary Data Analysis jobs in California? For Temporary Veterinary Data Analysis jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Veterinary Data Analysis jobs in California look for? The top searched job categories for Temporary Veterinary Data Analysis jobs in California are:
What cities in California are hiring for Temporary Veterinary Data Analysis jobs? Cities in California with the most Temporary Veterinary Data Analysis job openings:
Temporary Veterinary Data Analysis jobs near you
Infographic showing various Temporary Veterinary Data Analysis job openings in California as of July 2026, with employment types broken down into 78% Full Time, 14% Part Time, and 8% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution.

Staff Engineer, Data Analysis (R5290)

Shield AI

San Diego, CA • On-site

$150K - $220K/yr

Full-time

Posted 28 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

We're looking for a Staff Engineer to lead V-BAT's fleet data analysis efforts. The V-BAT system produces rich data from real-world flight tests, fielded aircraft, production activity, and simulation runs.  

You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance derived from information from software and hardware systems. You will facilitate deep studies into flight-critical sensor performance, navigation, communications, and other key aircraft behaviors. You will work closely with DevOps, Flight Software, Flight Test, Production, Quality, and Operations teams to turn complex aircraft data into actionable engineering insight. 

What you'll do:
  • Lead the technical strategy for V-BAT fleet data analysis across fielded aircraft, flight test, simulation, production, and quality workflows 
  • Own and improve the pipelines that transform raw flight, simulation, and fleet data into reliable engineering metrics, reports, and analysis products 
  • Conduct fleet-wide studies to identify trends in hardware quality, system performance, reliability, and operational behavior 
  • Analyze flight-critical sensor performance, GNSS-denied navigation performance, communications behavior, and other aircraft subsystems that are critical to mission success 
  • Standardize the team's analysis methods across online tools, Jupyter notebooks, automated Python scripts, and legacy Matlab workflows 
  • Define best practices for analysis methods, data review, documentation, validation, reproducibility, and contribution workflows 
  • Build automated Python workflows that make high-value metrics easily accessible to engineering, production, quality, and leadership teams 
  • Partner with DevOps to build, deploy, maintain, and scale the infrastructure required for automated analysis pipelines and dashboards 
  • Work with Software, GNC, Embedded, Flight Test, Systems, Production, Quality, and Operations teams to define metrics that reflect aircraft performance and product health 
  • Support anomaly investigations, root-cause analysis, release readiness, production quality improvements, and customer-impacting fleet investigations with rigorous data analysis 
  • Mentor engineers on effective data analysis practices and raise the quality bar for data-driven engineering decisions across the V-BAT team 
Required qualifications:
  • 5+ years of relevant experience with a Bachelor's degree in Computer Science, Data Science, or a related technical field 
  • Strong Python skills and experience building data analysis tools, automated analysis workflows, or data pipelines 
  • Experience analyzing data from fielded physical products such as aerospace systems, automotive systems, robotics platforms, commercial electronics, IoT devices, industrial equipment, or similarly complex real-world systems 
  • Experience working with large, messy datasets from deployed products, test events, simulations, production systems, or operational environments 
  • Ability to translate ambiguous engineering questions into structured analysis, sound conclusions, and clear recommendations 
  • Strong communication skills and the ability to influence cross-functional engineering, production, quality, and operations teams 
Preferred qualifications:
  • Experience with flight test data, aircraft telemetry, UAVs, robotics, autonomy, embedded systems, GNC, navigation systems, communications systems, or aerospace sensor suites 
  • Experience with Matlab, Jupyter, or similar analysis and visualization tools 
  • Experience building production-quality dashboards, automated reports, data products, or fleet-health monitoring systems 
  • Experience with databases, cloud storage, data lake architectures, time-series databases, telemetry systems, or data cataloging 
  • Experience with anomaly detection, trend analysis, statistical process control, reliability analysis, regression detection, or automated validation of complex systems 
$150,000 - $220,000 a year
#LI-SM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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