Project Change Manager

Data QA Analyst -100% Remote (EST Hours)

The Select Group is looking for a Data QA Analyst to join the Data Partnership team at one of our healthcare clients. The client is a large healthcare system located in North Carolina. To be successful in this role, the candidate should be an expert in data profiling, root cause analysis, and in creating strategies to ensure the quality of data being delivered through big data and analytics platforms. The QA analyst will deliver solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.

Sr. Data QA Analyst Must Have Skills:

* Experience with, and understanding of, implementing and measuring Data Quality and Controls
* Testing data transformation, data structures, metadata, dependency, and workload management
* Test automation and Azure DevOps integration
* Extensive experience in Healthcare IT-clinical
* Advanced working SQL knowledge and experience working with a variety of RDBMSs
* Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
* Familiarity with Python development
* API testing automation experience

Sr. Data QA Analyst Nice-to-Have Skills:
* Azure Databricks experience
* Experience with predictive modeling methods is a plus
* Knowledge of open-source software solutions and open-source as a business model
* Understanding of Agile and Scrum methodologies Working experience with the FHIR specification; including implementation
* Working experience with the FHIR specification; including implementation

Sr. Data QA Analyst Responsibilities:

Manage data quality documentation; define and maintain data standards, definitions, and models
Identify incorrect data, documenting issues, patterns, and gaps in the data and/or systems
Provide accurate and appropriate interpretation of data, applying knowledge for evaluation, analysis, and interpretation of data
Ensure data integrity by implementing quality assurance practices
Perform root cause analysis on data issues and recommend data quality controls to resolve gaps/issues
Provide quality assurance oversight of data flows and APIs
Contribute to agile story refinement and estimation
Contribute as a member of the Data Engineering Scrum Team by developing and executing test cases during sprints to verify that the APIs and data pipelines developed meet defined acceptance criteria
Collaborate with the Scrum Team and DevOps to automate test cases to be incorporated in the CI/CD pipelines
Relational SQL and NoSQL databases, including Oracle, SQL Server, Postgres, and CosmosDB in Azure
Data pipeline, workflow management, ETL tools such as Azure Data Factory, Synapse Pipelines
The FHIR standard for healthcare data exchange
Stream-processing systems such as NextGen Mirth or Spark-Streaming
Object-oriented/object function scripting languages such as Python or Java
Restful APIs and Web Applications
Cloud-based analytic platforms such as Azure Synapse
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Array