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Data Qa Jobs in Ohio (NOW HIRING)

Description QA Test Automation Lead Description Huntington Bank is looking for a QA Test Automation ... Collaborate with data engineers, developers, project managers/scrum masters, and compliance teams ...

Collaborate with data engineers, developers, project managers/scrum masters, and compliance teams to ensure data quality, integrity, and traceability throughout the lifecycle. * Drive continuous ...

Description QA Test Automation Lead Description Huntington Bank is looking for a QA Test Automation ... Collaborate with data engineers, developers, project managers/scrum masters, and compliance teams ...

Quality Assurance

Sidney, OH · On-site

$19.34/hr

Job Summary We are seeking a detail-oriented Quality Assurance Associate to support food production ... Analyze data, identify trends, and report findings to management * Ensure compliance with OSHA ...

Job Summary We are seeking a detail-oriented Quality Assurance Associate to support food production ... Analyze data, identify trends, and report findings to management * Ensure compliance with OSHA ...

The Manager, Quality Assurance is responsible for leading Home Office-based quality strategy, cross ... Analyze quality data and supplier performance trends to identify opportunities for prevention ...

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... Title: Quality Assurance Location: Richfield, OH Duration: 3-6+ months Primary Skills: Quality ...

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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 Ohio?

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

Infographic showing various Data Qa job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 2% Temporary, 8% Contract, and 2% Nights. Highlights an 90% In-person, 6% Hybrid, and 4% Remote job distribution.

Data QA Program Manager with P&C Domain

Delviom LLC

Ohio City, OH • On-site

Other

Posted 6 days ago


Job description

  • 15+ years of IT experience, including 4-5 years in managing Data QA projects.
  • Prior hands-on QA experience in Snowflake, Informatica CDV/DVO, SQL, Oracle, API Testing using Postman, Python libraries for QA automation.
  • Hands on experience managing team s deliverables using agile boards such as: Rally / Jira / Azure DevOps.
  • Prior experience in managing large QA initiatives in a customer-facing role.
  • Strong experience in onsite-offshore delivery model.
  • Strong project management and leadership skills.
  • Ability to explain technical issues to non-technical audiences.
  • Self-motivated with the ability to handle multiple projects.
  • Strong communication and interpersonal skills.

Responsibilities:

  • Define and implement data quality strategy, test approach, and QA processes
  • Collaborate with business analysts, data engineers, and stakeholders to understand requirements and ensure alignment
  • Oversee development and execution of automation frameworks for data testing
  • Lead and manage Data QA analysts and automation engineers, including task planning, execution tracking, mentoring, and performance reviews.
  • Plan and allocate QA resources, including interview panels and team capacity
  • Ensure adherence to data governance and compliance standards
  • Drive test automation using Python to validate largescale datasets, schemas, metrics, and regression scenarios.
  • Continuously improve QA processes, tools, and automation coverage.
  • Solve impediments for executing the QA strategy by addressing technical and dependency complexity.
  • Plan for risk management, anticipate bottlenecks, mitigate risks and communicate effectively with stakeholders.
  • Manage internal as well as external stakeholder expectations.