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) 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.