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Data Qa Jobs in Ohio (NOW HIRING)

As a QA Test Automation Lead, you will work to develop automation test strategies and frameworks ... If you consider data as a strategic asset, evangelize the value of good data and insights, have a ...

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 ...

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 ...

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 ...

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Data Qa information

What is the data QA role?

A Data QA (Quality Assurance) role involves reviewing and testing data to ensure accuracy, completeness, and consistency. Data QA professionals often use tools like SQL and data validation software to identify errors and verify data integrity within datasets or databases, supporting reliable data analysis and decision-making.

Will AI replace a data analyst?

AI can automate certain data analysis tasks, such as data cleaning and basic reporting, but it is unlikely to fully replace data analysts. Data analysts bring critical thinking, domain knowledge, and interpretative skills that complement AI tools, making their role essential for complex insights and decision-making. Proficiency in tools like SQL, Excel, and data visualization software remains important for the job.

What are top 3 skills for a QA analyst?

A QA analyst should have strong attention to detail, proficiency in testing tools and scripting languages, and good communication skills to document and report issues effectively. Knowledge of software development life cycle (SDLC) and familiarity with automation frameworks are also valuable. These skills help ensure software quality and efficient testing processes.

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 QA still in demand?

Quality Assurance (QA) roles, including Data QA, remain in demand as companies prioritize data accuracy and software quality. Skills in testing tools, scripting, and understanding data workflows are valuable, and demand is expected to grow with increasing reliance on data-driven 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 July 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.

Full-time, Contractor

Posted 24 days ago


Job description

QA Testing Analyst | Columbus, Ohio, United States Job Summary: QA Testing Analyst (Data Lake & Data Warehouse) - Contract to Hire Location: Columbus, OH (Remote flexibility considered) About the Role Huntington Bank is urgently seeking a QA Testing Analyst to lead automation initiatives within our Data Lake and Data Warehouse team. You will drive the transformation of our quality assurance processes, ensuring robust data integration and regulatory compliance in a modern, high-impact banking environment. Join us to leverage your expertise, collaborate with top-tier professionals, and help shape the future of data-driven banking. Responsibilities - Lead quality assurance efforts for multiple concurrent data ingestion and integration projects, focusing on regulatory alignment and data integrity. - Design, implement, and maintain scalable automated testing frameworks and CI/CD pipelines that support secure and efficient data operations. - Develop and execute comprehensive test strategies for System Integration Testing (SIT) and support User Acceptance Testing (UAT). - Collaborate with cross-functional teams-including data engineers, developers, project managers, and compliance-to drive data quality and traceability. - Analyze data, troubleshoot complex data issues, and create actionable plans to address data quality concerns. - Generate daily and weekly test execution metrics and status reports for stakeholders. - Drive continuous improvement by streamlining manual processes and championing test automation adoption. - Assist project managers/scrum masters in driving defect resolution and managing offshore QA activities. - Participate in requirement reviews, data mapping analysis, defect triage, and production implementation verification. Required Skills and Experience - Bachelor's degree - 5+ years of ETL testing experience in a data warehouse environment - 3+ years of test automation experience - 2+ years of experience with Snowflake and AWS - 2+ years leading QA analysts on project teams - Strong expertise in SQL validation, backend testing, and data warehouse concepts (EDW, star/snowflake schema, OLAP) - Proficiency with Azure DevOps (ADO) or Jira for test management Preferred Skills - Experience in financial services or banking industry - Hands-on experience with test automation tools such as Cucumber, Selenium, PyTest, DBT tests - Familiarity with cloud data solutions (Snowflake, AWS S3) - Exposure to DataStage, Zena - Excellent communication, organizational, and analytical skills Benefits - Opportunity to convert to full-time and advance your career in a leading financial institution - Work on high-visibility, strategic projects impacting the future of banking data - Collaborative and innovative team environment focused on learning and continuous improvement - Gain hands-on experience with cutting-edge data and cloud technologies How to Apply If you are passionate about data quality and automation, and ready to lead QA initiatives in a fast-paced environment, apply today to join Huntington Bank's Data Lake and Data Warehouse team. Face-to-face interview required. Candidates must be authorized to work in the US without sponsorship.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US