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Data Qa Jobs in Missouri (NOW HIRING)

As a QA Analyst, you will play a central role in ensuring digital products are reliable, intuitive ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Quality Assurance Technician The Quality Assurance Technician plays a crucial role in ensuring that ... Maintain accurate records of inspections, tests, and production processes, ensuring all data is up ...

Quality Assurance Technician The Quality Assurance Technician plays a crucial role in ensuring that ... Maintain accurate records of inspections, tests, and production processes, ensuring all data is up ...

Quality Assurance Technician The Quality Assurance Technician plays a crucial role in ensuring that ... Maintain accurate records of inspections, tests, and production processes, ensuring all data is up ...

QA Engineer

Maryland Heights, MO · On-site

$43 - $48/hr

QA Engineer - Mid Level Hybrid - St. Louis, MO, Charlotte, NC, or Denver, CO Hybrid Attendance ... Execute SQL Server queries and validate data within relational databases * Navigate and validate ...

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Data Qa information

What is the difference between Data Qa vs Data Analyst?

AspectData QaData Analyst
Required CredentialsBasic understanding of testing tools, some certificationsDegree in data-related fields, certifications like Microsoft or SAS
Work EnvironmentQuality assurance teams, software testing environmentsData analysis teams, business intelligence settings
Employer & Industry UsageTech companies, software development firmsFinance, marketing, healthcare, and other industries
Common Search & ComparisonOften compared for data quality rolesMore focused on data insights and reporting

Data Qa professionals primarily focus on testing and ensuring data quality, often working within QA teams to validate data accuracy and integrity. Data Analysts, on the other hand, analyze data to generate insights, create reports, and support decision-making. While both roles work with data, Data Qa emphasizes quality assurance processes, whereas Data Analysts focus on data interpretation and analysis.

Is data QA a difficult job?

Data QA (Quality Assurance) involves reviewing and testing data for accuracy, consistency, and completeness, which can require attention to detail and analytical skills. The difficulty depends on the complexity of the data, the tools used, and the specific requirements of the role, but it generally involves systematic processes and knowledge of data management practices.

What does a data QA do?

A data QA (Quality Assurance) specialist reviews and tests data to ensure accuracy, consistency, and completeness. They identify and report data issues, often using tools like SQL or data validation software, to maintain data quality for analysis and decision-making.

What are popular job titles related to Data Qa jobs in Missouri?

For Data Qa jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Data Qa jobs?

Cities in Missouri with the most Data Qa job openings:

Infographic showing various Data Qa job openings in Missouri as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 100% In-person job distribution.

Data Quality Analyst

Stellar IT Group

Saint Louis, MO • On-site

Full-time

Re-posted 14 days ago


Job description

Overview:
Data Quality Analyst
Location: Remote
Duration: 3-6+ months (possible extension)
Position Summary
We are seeking experienced Data Quality Analysts to join Medica's IT team. In this role, you will lead testing and validation efforts across complex data environments, ensuring the accuracy, integrity, and reliability of outbound data feeds, regulatory submissions, and vendor deliverables. As senior contributors, you will define quality strategies, mentor junior analysts, and collaborate with engineering, analytics, and business stakeholders to deliver high-quality solutions.
Key Responsibilities
  • Design and execute test strategies, plans, and validation frameworks for data pipelines and applications.
  • Lead functional, regression, and data validation testing to ensure compliance with business and regulatory requirements.
  • Validate inbound/outbound data feeds, including regulatory submissions, vendor integrations, and reporting outputs.
  • Perform advanced data reconciliation and root cause analysis across multiple systems.
  • Identify risks and quality gaps; drive mitigation strategies proactively.
  • Partner with stakeholders to define acceptance criteria and ensure release readiness.
  • Maintain documentation and traceability to support audits, compliance, and internal controls.
Required Qualifications
  • Bachelor's degree in Information Systems, Computer Science, Analytics, or related field.
  • 5+ years of experience in QA, software testing, or data validation.
  • Advanced SQL skills with experience handling large, complex datasets.
  • Strong background in testing data pipelines, ETL processes, and data platforms.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience working in Agile or iterative delivery environments.
Preferred Qualifications
  • Experience in healthcare or health plan data (claims, enrollment, HEDIS/Stars).
  • Familiarity with QA automation tools and frameworks.
  • Exposure to cloud-based data platforms or modern data architectures.

Skills:
QA,SQL,ETL,HEDIS,HEALTHCARE