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Data Validator Jobs in Oklahoma (NOW HIRING)

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Execute data preparation, cleansing, and validation processes to ensure data integrity across reports and systems. * Troubleshoot reporting and data issues, identifying root causes and resolving ...

Neshent Technologies

OK · On-site

$89K - $106K/yr

Perform functional/UI testing, data validation, and troubleshooting. * Stakeholder Management: Collaborate with stakeholders, understand requirements, and communicate project status/issues ...

Groendyke Transport, Inc.

Data Platform Analyst

Enid, OK · On-site +1

Use Python for data pipelines, automation, validation, and integration tasks (e.g., scheduled loads, transformations, monitoring, and backfills). * Optimize and troubleshoot performance issues in SQL ...

Groendyke Transport

Data Platform Analyst

Enid, OK · On-site

Use Python for data pipelines, automation, validation, and integration tasks (e.g., scheduled loads, transformations, monitoring, and backfills). * Optimize and troubleshoot performance issues in SQL ...

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Data Validator information

See Oklahoma salary details

$42.5K

$152.4K

$224.8K

How much do data validator jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data validator in Oklahoma is $152,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a data validator?

A Data Validator is responsible for ensuring the accuracy, consistency, and integrity of data within a system or dataset. They review, clean, and verify data to identify errors, inconsistencies, or missing information. This role is essential in industries that rely on high-quality data for decision-making, such as finance, healthcare, and research. Data Validators use various tools and techniques to cross-check and validate data against predefined standards or business rules. Their work helps maintain data reliability, improves efficiency, and supports better decision-making across an organization.

What skills and qualifications are needed to be a data validator?

To thrive as a Data Validator, you need strong attention to detail, analytical skills, and experience working with large datasets, often supported by a degree in information technology, mathematics, or a related field. Familiarity with data validation tools, database systems (like SQL), Excel, and sometimes industry-standard certifications such as CDMP (Certified Data Management Professional) can be advantageous. Excellent communication, problem-solving abilities, and the capacity to work independently or as part of a team are valuable soft skills. These competencies ensure accuracy, integrity, and reliability in data, which are critical for decision-making and business operations.

What challenges might I face as a data validator, and how can I overcome them?

As a Data Validator, you may encounter challenges like identifying subtle inconsistencies in large datasets, managing tight deadlines for data verification, and adapting to multiple data sources or formats. To overcome these hurdles, it’s important to develop strong troubleshooting skills, stay organized, and leverage automated validation tools whenever possible. Collaborating closely with data engineers and business analysts can also help clarify data requirements and resolve ambiguities. Building a thorough understanding of data processes within your organization will further equip you to handle these challenges effectively and efficiently.

How do I become a data validator?

To become a data validator, you typically need a high school diploma or equivalent, along with strong attention to detail and analytical skills. Gaining experience with data management tools, spreadsheets, and database software can be helpful, and some roles may require a bachelor's degree in a related field such as information technology or computer science. Certifications in data quality or validation can also enhance your qualifications.

What are popular job titles related to Data Validator jobs in Oklahoma?

For Data Validator jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Data Validator jobs in Oklahoma look for?

The top searched job categories for Data Validator jobs in Oklahoma are:

Data Validator jobs near you
Infographic showing various Data Validator job openings in Oklahoma as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $152,367 per year, or $73.3 per hour.

Data Analyst

Dental Depot

Oklahoma City, OK • On-site

Full-time

Re-posted 7 days ago

Job description

DATA ANALYST
POSITION SUMMARY
THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE POSITION.
Primary responsibility for hands-on analytic reporting, data infrastructure support, and development within the organization's reporting platform (DDI). This position reports directly to the Senior Business Intelligence Engineer and supports the Business Intelligence team in executing reporting, database, and data integration workstreams, including report development, data modeling, and system optimization.
This is an execution-focused role responsible for building, maintaining, and improving reporting outputs and underlying data structures. The position emphasizes technical competency, attention to detail, and the ability to produce accurate work within established systems and processes.
ESSENTIAL FUNCTIONS
To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodation may be made to help enable qualified individuals with disabilities to perform the essential functions.
  • Support the Business Intelligence team in building, maintaining, and optimizing Power BI dashboards and reports within the company reporting platform (DDI).
  • Write and modify SQL queries to support reporting, data extraction, validation, and troubleshooting.
  • Work with relational datasets, including joining multiple tables and validating outputs for accuracy and consistency.
  • Assist in the development and maintenance of data pipelines, transformations, and structured datasets within Snowflake or similar environments.
  • Execute data preparation, cleansing, and validation processes to ensure data integrity across reports and systems.
  • Troubleshoot reporting and data issues, identifying root causes and resolving issues without introducing downstream errors.
  • Follow established development standards, naming conventions, and documentation practices.
  • Assist in automating recurring reporting processes and improving workflow efficiency.
  • Work directly with internal stakeholders to gather report requirements, clarify objectives, and ensure alignment with business needs.
  • Document report logic, data definitions, and technical processes clearly and consistently.
  • Perform routine audits of reports and datasets to identify discrepancies, inconsistencies, or performance issues.
  • Support testing, validation, and deployment of new or updated reports and data processes.

skills and ability
Adaptability - Ability to adapt to change in the workplace and adjust to evolving business needs and priorities.
Organized - Possesses strong organizational skills and follows structured processes in completing work.
Detail Oriented - Demonstrates a high level of attention to detail and accuracy in all deliverables.
Analytical Skills - Ability to apply structured thinking and logical reasoning to technical and data-related problems.
Accuracy - Ability to perform work accurately and thoroughly, validating outputs before delivery.
Communication Skills - Ability to communicate clearly and effectively when gathering requirements, reporting issues, and providing updates.
Cross-Functional Collaboration - Ability to work effectively with internal stakeholders across departments to support reporting needs.
Problem Solving - Ability to troubleshoot issues independently and propose multiple potential solutions prior to escalation.
Technical Aptitude - Demonstrates a strong foundational understanding of data structures, reporting tools, and technical systems.
Accountability - Takes ownership of assigned work and follows through to completion with minimal oversight.
Work Ethic - Demonstrates reliability, urgency, and a consistent commitment to producing high-quality work.
WORK ENVIRONMENT
While performing the duties of this job, the employee is occasionally exposed to toxic or caustic chemicals, body fluids, blood borne pathogens, and the risk of radiation. The noise level is usually moderate. As the dental practice is heavily dependent on scheduling, the general environment can become hectic at times. Therefore, the employee must be able to handle effectively the normal anxieties associated with the job.
EDUCATION, EXPERIENCE & TECHNICAL SKILLS
Education:
Bachelor's degree (four-year college) in a related field preferred (e.g., Information Systems, Computer Science, Data Analytics, Finance, or similar).
Experience:
2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable).
Experience working with structured datasets and reporting tools required.
Certifications & Licenses:
Microsoft Office Specialist Excel/Power Platform Expert Certification
Computer Skills:
  • Microsoft Suite of Services (Excel, Teams, Outlook, PowerPoint, Power BI)
  • SQL (required - ability to write queries involving joins, aggregations, and data validation)
  • Snowflake or similar cloud data platforms (preferred)
  • Familiarity with ETL/ELT processes and data pipeline concepts
  • Familiarity with AI-assisted tools (e.g., ChatGPT, Copilot) to support workflow efficiency and technical problem solving

PROFESSIONAL & BUSINESS Skills:
  • Ability to follow established processes and technical standards with consistency
  • Strong attention to detail in data handling, validation, and reporting outputs
  • Ability to manage multiple tasks and meet deadlines in a structured environment
  • Willingness to learn and develop technical skills on the job
  • Ability to approach problems methodically and avoid making unsupported assumptions
  • Clear written and verbal communication for task updates, issue identification, and resolution
  • Ability to work independently while aligning with team direction and priorities

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