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Data Validation Analyst Jobs (NOW HIRING)

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Validate mission datasets generated by deployed robots. * Perform completeness, schema, and integrity checks on field data. * Identify corrupted, incomplete, or anomalous datasets. * Support QA ...

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Validate mission datasets generated by deployed robots. * Perform completeness, schema, and integrity checks on field data. * Identify corrupted, incomplete, or anomalous datasets. * Support QA ...

Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3 years of experience in data ...

Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3years of experience in data ...

Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3 years of experience in data ...

Model Validation Analyst II

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If so, being a Model Validation Analyst II with Frost could be for you. At Frost, it's about more ... By turning data into insights, you will help us discover the accuracy of the most complex and ...

Senior Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

Systems development activities include data table/structure design, data acquisition, system specifications, data validation and documentation. Data Analyst support will also include development of ...

Model Validation Analyst II

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If so, being a Model Validation Analyst II with Frost could be for you. At Frost, it's about more ... By turning data into insights, you will help us discover the accuracy of the most complex and ...

Provider Data Validation (PDV) Manager

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive measurable improvements through data analytics, process optimization, and AI-enabled ... Experience in Risk Adjustment, Provider Data Validation, Medical Coding, Provider Education, or ...

Senior Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

Responsibilities include: • Systems development activities include data table/structure design, data acquisition, system specifications, data validation and documentation. • Data Analyst support ...

Perform data validation and reconciliation * Support KPI and trend reporting * Assist with ad-hoc analysis * Document reports and metrics Required Qualifications * 2-3 years of experience in data ...

Data Migration Test Analyst - Snowflake SQL Azure Location: Seattle, WA (Hybrid - Local Candidates ... This role focuses on validating enterprise data migrations by ensuring data accuracy, completeness ...

NJ · On-site

This person will be validating existing customer demographics, Class of Trade and cross references in the Informatics MDM system. The individual will be responsible in utilizing third party and ...

Provider Data Validation (PDV) Manager

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive measurable improvements through data analytics, process optimization, and AI-enabled ... Experience in Risk Adjustment, Provider Data Validation, Medical Coding, Provider Education, or ...

Provider Data Validation (PDV) Manager

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive measurable improvements through data analytics, process optimization, and AI-enabled ... Experience in Risk Adjustment, Provider Data Validation, Medical Coding, Provider Education, or ...

Perform data validation, quality checks, and reconciliation * Write SQL queries to extract and analyze healthcare data * Support KPI tracking, trend analysis, and recurring performance reports

Showing results 41-60

Data Validation Analyst information

See salary details

$34K

$82.6K

$136K

How much do data validation analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data validation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a data validation analyst do?

A Data Validation Analyst is responsible for ensuring the accuracy, consistency, and quality of data used within an organization. They develop and implement processes to check data for errors, inconsistencies, or gaps, and work closely with data engineers, analysts, and other stakeholders to resolve any issues. Their work is crucial in maintaining reliable databases and supporting data-driven decision-making. Data Validation Analysts often use specialized tools and techniques to automate validation and document any discrepancies for future improvement.

What are the key skills and qualifications needed to thrive as a data validation analyst, and why are they important?

To excel as a Data Validation Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in statistics, computer science, or a related field. Familiarity with database systems (such as SQL), data validation tools, and data quality frameworks is typically required. Excellent problem-solving abilities, effective communication, and a collaborative mindset help analysts address data issues and work efficiently with cross-functional teams. These skills ensure data accuracy, support informed decision-making, and help maintain high standards of data integrity within organizations.

What are some common challenges faced by data validation analysts, and how are they typically addressed?

Data Validation Analysts often encounter challenges such as handling large volumes of complex data, identifying inconsistencies, and ensuring data accuracy across multiple sources. To address these, analysts use automated validation tools, establish clear data quality protocols, and collaborate closely with data engineers and business stakeholders. Regular training on new technologies and maintaining open communication within the team also help in overcoming these challenges and maintaining high data quality standards.

What is the difference between Data Validation Analyst vs Data Quality Analyst?

AspectData Validation AnalystData Quality Analyst
Primary FocusVerifying data accuracy and integrity during data entry and processingAssessing and improving overall data quality across systems
Skills & CertificationsExcel, SQL, data validation tools, certifications like Microsoft Certified Data AnalystData governance, data management, certifications like CDMP or DAMA-DMBOK
Work EnvironmentData entry teams, IT departments, finance, healthcareData management teams, analytics departments, IT

While both roles focus on data accuracy, Data Validation Analysts primarily verify data during processing, whereas Data Quality Analysts evaluate and improve overall data quality across systems. They often collaborate but have distinct responsibilities within data management processes.

What is the role of a Data Validation Analyst?

A Data Validation Analyst is responsible for reviewing and verifying data accuracy, consistency, and completeness within databases or data systems. They develop validation rules, perform data audits, and use tools like Excel or SQL to identify and correct errors, ensuring data integrity for decision-making. Strong attention to detail and knowledge of data management practices are essential for this role.
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What cities are hiring for Data Validation Analyst jobs?

Cities with the most Data Validation Analyst job openings:

What states have the most Data Validation Analyst jobs?

States with the most job openings for Data Validation Analyst jobs include:

Infographic showing various Data Validation Analyst job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Field Data Analyst

FieldAI

Irvine, CA • On-site

$75K - $115K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Job Title: Field Data Analyst
Location: Irvine, CA
Job Type: Full time
Prefer Local Candidates
 
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
About the role:

We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.

The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.
Key Responsibilities
Data Validation & Quality Assurance
    • Validate mission datasets generated by deployed robots.
    • Perform completeness, schema, and integrity checks on field data.
    • Identify corrupted, incomplete, or anomalous datasets.
    • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
    • Analyze operational logs and mission data to identify trends or anomalies.
    • Investigate system behavior using telemetry and mission outputs.
    • Support root-cause analysis by extracting insights from field datasets.
Client Reporting & Insights
    • Generate clear performance reports and summaries for customers.
    • Translate technical data into understandable insights.
    • Support periodic reporting on autonomy performance and system behavior.
Operational Support
    • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
    • Assist in identifying recurring operational problems from data.
    • Provide validated datasets to engineering teams for debugging.
Process Improvement
    • Improve internal data validation workflows.
    • Support development of automated checks and dashboards.
    • Maintain documentation of datasets, reporting templates, and QA procedures.
Required Qualifications
  • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in Python, SQL, or similar data analysis tools
  • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
  • Strong problem-solving ability and attention to detail
Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time-series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders
$75,000 - $115,005 a year
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
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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