Data & Analytics Quality Engineer

• The Quality Assurance Engineer will bring comprehensive quality testing expertise to a growing and innovative organization, designing and documenting testing scenarios, creating test plans, and reviewing quality specifications and technical design for both existing and new analytics products. The QA Engineer will be an integral part of our growing analytics product team, working with new technology in both manual and automation testing environments. 
• The Quality Assurance Engineer will design testing procedures to ensure our analytics meets established quality standards using best practices and industry standard practices. Develops and writes testing scripts to ensure our analytics perform as expected while monitoring and documenting testing results according to best practice procedures. 

• Perform test execution (both manual and automated) for healthcare analytics including extraction and load processes, data transformations, data models, and dashboarding. 
• Create detailed, comprehensive, and well-structured test plans and test cases. 
• Collaborate closely with Data & Analytics team members to ensure that production system defects are documented, an appropriate testing plan is established, and defects are resolved in a timely manner. 
• Drive data quality programs and assist in the implementation of company automated test frameworks and solutions within an agile team structure. 
• Performs special projects and other duties as assigned. 

• Bachelor’s degree in computer science, Information Technology, Data Science, Math, Finance, or a related field, or equivalent training and/or experience. 
• Minimum(2) years ofexperience as a quality assurance engineer or data analyst with strong data quality orientation.

Preferred qualifications 

• QA related certifications preferred.
• Strong understanding of US healthcare revenue cycle and billing.
• Experience with testing in cloud-native systems (MS Fabric preferred).