Data Quality Assurance Analyst
Quest Analytics, LLC
full-time
Posted on:
Location: Alabama, Arizona, Colorado • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AzureETLSparkSQLTableau
About the role
- Document test cases and test scripts based on Agile stories
- Create and maintain the code required to run test cases
- Execute test cases and identify defects
- Develop, maintain, and execute various data testing approaches, to include validating data sources, extracting data, applying/validating transform logic, and uploading data into destination sources for output accuracy and validation
- Participate in Scrum team activities to monitor defect resolution
- Suggest creative and active solutions for problems
- Monitor and report on defect resolution to management
- Identify and document processes around the QA of data across multiple environments
- Support technical staff in the resolution of defects
- Identify missed business rules that need to be submitted for future development
- Provide actionable recommendations for improving data quality or integrity
- Work with stakeholders to understand, reproduce, and address defects identified by clients or internal parties
- Participate in the training and/or mentoring programs as assigned or required
- Adhere to the Quest Analytics Values and support a positive company culture
- Respond to the needs and requests of clients and Quest Analytics management and staff in a professional and expedient manner
Requirements
- Bachelor’s degree, preferably in data analytics or computer engineering
- A minimum of 2 years' experience in QA position specifically focused on data and ETL data accuracy testing
- Intermediate to advanced SQL skills
- Healthcare data experience is preferred
- Experience working with large datasets
- Experience with Azure Data Factory or similar data integration services
- Experience with data tools such as Databricks, Excel, Power BI, R, Looker, Tableau, and Spark preferred
- Snowflake is a plus
- Familiarity with best practices of quality assurance practices
- Ability to work independently and as part of a team
- Strong communication skills and customer focus
- Excellent troubleshooting, listening, and problem-solving skills
- Able to work in a fast-paced, deadline-oriented environment
- Experience with automation tooling to validate ETL processes is preferred
- Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.