The primary responsibilities of the QA Analyst inside the Payer Compass R&D team involve the design, development, and execution of system tests covering a new Payer Compass Data Transparency project. The position will be heavily focused on back-end data validations and the development of test cases and end-to-end system testing. The QA analyst will participate in all aspects of the software development lifecycle including:
- Collaborate with analysts in gathering requirements and test case design to ensure adequate coverage for new feature development
- Work with software developers and project owners to facilitate a clear understanding of acceptance criteria and QA expectations
- Create test cases based on the data analysis performed
- Perform API testing to check the functionality, security, and performance of the interface.
- Identify and document smoke, functional, and regression test cases.
Education and Work Experience:
- Minimum 3 years experience doing manual software quality assurance
- Experience in API testing, validating JSON and XML payloads
- Experience with service-oriented architecture
- Experience with software development using Agile methodologies
- Experience with requirements gathering from project stakeholders
- BA/BS in Computer Science preferred
Knowledge, Skills and Key Competencies:
- Strong knowledge of QA methodologies and API testing tools (Postman, SoapUI etc)
- Good understanding of relational databases in general and Microsoft SQL Server specifically.
- Advanced skills with SQL queries, stored procedures, and test scripting to delete, define, load, and merge data for tests
- Familiarity with document databases in general and MongoDB specifically.
- Familiarity with Atlassian tools (Jira, Bitbucket, Confluence)
- Experience working as analyst with large data sets highly desired
- Self-motivated and desire to learn and grow professionally
- Strong interpersonal, communication and writing skills
- Coordination of benefits, and/or Health care revenue cycle knowledge is plus
- Excellent problem-solving skills and willingness to self-Study and learn through trial and error required
Protects and maintains patient and institutional information in a confidential manner and in a secured environment. Ensures data access limitations through the use of password protection, read-only access, and other measures that protect the data from unauthorized or accidental access.