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Data Validation Analyst Jobs in Texas (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

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 ...

Data Engineer Data Quality & Validation

Dallas, TX ยท On-site

$113K - $136K/yr

Analyze Spark execution behavior and data processing outcomes. Kafka & Streaming Data Validation * Validate Kafka-based streaming architectures and data pipelines. * Test producer and consumer ...

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

Data Analyst

Midland, TX ยท On-site

$61.60 - $70.84/hr

Create and maintain data validation and QA/QC processes to improve reporting accuracy and reduce ... Reporting & Analytics * Dashboard Development & Visualization * Data Validation, QA/QC, and ...

Data Analyst

Waco, TX ยท Hybrid

$70K/yr

The ideal candidate will be comfortable working with ERP data, building reports, analyzing trends, validating information, and turning business data into clear insights that support leadership ...

Support quality assurance reviews through data validation. * Identify recurring vulnerabilities and best practices across installations. * Assist assessment teams with research and analytical support.

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Data Validation Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do data validation analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data validation analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 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.
What job categories do people searching Data Validation Analyst jobs in Texas look for? The top searched job categories for Data Validation Analyst jobs in Texas are:
What cities in Texas are hiring for Data Validation Analyst jobs? Cities in Texas with the most Data Validation Analyst job openings:
Infographic showing various Data Validation Analyst job openings in Texas as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Model Validation Analyst

Satnam Data Systems, Inc

Plano, TX โ€ข On-site

Contractor

Posted 21 days ago


Job description

Company Description
Job Description
The client's Customer Analytics, Capital and Modeling Department is looking for a highly motivated and qualified Model Validation Consultant to support its objectives. The primary responsibility of this role is to support the model validation team to mitigate the model risks under the model governance for the entire client. The team is responsible to Client and diagnose modeling related risks including input data, assumption, concept, methodology, process and implementation. The team is also responsible to opine on the model strength and weakness and recommend practical solutions. Key Responsibilities: Support the model validation team to mitigate the model risks Discovers and diagnoses modeling related risks including input data, assumption, concept, methodology, process and implementation Provides subject matter expertise on models' strength and weakness and recommend practical solutions Validates models assigned by model governance committee Discusses validation results with model owners and governance team to gain consensus and create strategies to implement changes if needed Utilizes express mode validation for new model development, facing legal and compliance related modeling issues, quick model fixes, etc. Review model documents, and conduct test runs on model codes Provide different view on methodology and calculations, and provide feedback to model developers Work on model validation reports with hiring manager and provide ad hoc support to him
Qualifications
Master's Degree in Statistics, Econometrics, Finance, Operations Research, or equivalent. PhD is preferred 5 plus years of financial modeling development or model validation experience 3 plus years of work experience in SAS and SQL Quantitative analysis skills Preferred or Nice to haves: Work experience in R Work experience in Auto Financial Industry Work knowledge in Lease Residual Value Banking industry experience Auto Finance experience
Additional Information
All your information will be kept confidential according to EEO guidelines.