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Data Validation Analyst Jobs (NOW HIRING)

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable. Responsibilities : • Validate ...

Lead or support validation of computerized systems & laboratory instruments, including installation ... Ensure ongoing data integrity, backup, & regulatory compliance for GMP laboratory & manufacturing ...

Lead or support validation of computerized systems & laboratory instruments, including installation ... Ensure ongoing data integrity, backup, & regulatory compliance for GMP laboratory & manufacturing ...

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

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 * 1 TO 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 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 * 2-3 years of experience in data ...

Our company provides application analysis, design, development and programming, software ... Validate data from the legacy system into the Modernized Systems. Validates the extraction ...

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 ...

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Data Validation Analyst information

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$34K

$82.6K

$136K

How much do data validation analyst jobs pay per year?

As of Jul 9, 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 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 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 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 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.
More about Data Validation Analyst jobs
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 July 2026, with employment types broken down into 70% Full Time, 10% Part Time, and 20% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% 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

Full-time

Posted 25 days ago


Job description

Job Summary:
FieldAI is transforming how robots interact with the real world by building risk-aware AI systems. The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable.
Responsibilities:
• 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.
• 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.
• Generate clear performance reports and summaries for customers.
• Translate technical data into understandable insights.
• Support periodic reporting on autonomy performance and system behavior.
• 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.
• Improve internal data validation workflows.
• Support development of automated checks and dashboards.
• Maintain documentation of datasets, reporting templates, and QA procedures.
Qualifications:
Required:
• 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:
• 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
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.