Job Title: Data Quality Analyst
Location: Sterling, VA.
Job Description:
• Develop efficient and effective qualitative methods, measures, and guidelines to continuously improve quality processes and practices.
• Perform extensive backend (preferably SQL server or other RDBMS) testing, writing medium to complex SQL scripts to validate data between multiple sources.
• Hands on experience with backend database testing along with ability to analyze and test different DB objects (Stored procedures, functions, views) that are used by web applications.
• Management and execution of test scenarios and test cases and, where possible, develop and execute automated test scripts to verify software functionality and adherence to business requirements.
• Experience with reports testing (ex - Tableau) to ensure data credibility and accuracy of insights derived from the BI reports.
• Provide accurate report of test progress to the management team and follow up with development team on defects; participate in root cause analysis discussions for all defects
• Analyze the business requirements, write test scenarios and execute the test cases.
• Meet aggressive deadlines while also ensuring quality changes are released into production
• Efficient in performing data analysis with large datasets and capable of solving loosely defined problems
• Perform various types of testing, including functional, Load, Regression, and Integration
• Ability to extract insights from data, which involves a level of analytical comprehension and manipulation
• Manage and execute the creation and distribution of data quality reports.
• Work with development team to correct data quality errors.
• Determine root cause for data quality errors and make recommendations for long-term solutions.
• Resolve all internal data exceptions in timely and accurate manner.
• Comply with the project standards on testing policies, criteria, strategy, and procedure
• Working experience in HealthCare industry is highly desirable.
-->Educational Qualification: Minimum Bachelor's in Computer Science & Engineering or Equivalent Degree.