Premise Health

Healthcare Without Rival

Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care – in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. 

Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations. 

Premise offers a wide range of dynamic, purpose-driven career opportunities. We are currently looking for a QA Data Validation Specialist to join our team in Brentwood, TN. 

About the role: 

The Data team is seeking a meticulous and detail-oriented QA Data Validation Specialist to ensure the accuracy, integrity, and reliability of our data. You will play a critical role in maintaining high data quality standards by designing, implementing, and executing validation processes. Your work will directly impact the quality of our products, services, and decision-making processes.

Essential Functions:  

• Develop and execute data validation test plans, test cases, and test scripts based on business requirements and data specifications.
• Perform various data quality checks, including accuracy, completeness, consistency, conformity, and integrity.
• Identify, document, and track data anomalies, errors, and inconsistencies through the testing lifecycle.
• Analyze test results and collaborate with data engineers, developers, and business analysts to troubleshoot and resolve data quality issues. 
• Design and implement automated data validation scripts using tools such as Python or SQL.
• Participate in the development and maintenance of data quality standards, processes, and documentation.
• Work closely with cross-functional teams to ensure data quality is integrated throughout the data lifecycle.
• Contribute to the continuous improvement of data validation processes and methodologies.
• Assist in the creation of data quality dashboards
• Potentially participate in user acceptance testing (UAT) to validate data accuracy for end-users.
• Partner with product managers to validate the product requirements, use cases, feature prioritization, and release scope based on user needs, strategic goals, and implementation feasibility.
• Define test specifications, user stories, acceptance criteria, test cases, process flows, data mappings, and user-facing product documentation for new features.
• Conduct user acceptance testing (UAT) for dataset releases.
• Coordinate across project stakeholders including Engineering, and Product by planning meetings, creating presentations, and delivering status updates.
• Ensure data product quality by conducting testing, validation, and performance assessments.
• Understand the policy, technical, and operational aspects of de-identification (HIPAA Safe Harbor, Expert Determination, etc) and data linking.
• KPIs may include:
• Reduction in manual data transformation steps through automation
• Time-to-delivery from data ingestion to availability of analysis-ready datasets
• Monitor data quality and integrity across all data products, ensuring that they meet business and regulatory standards.
• Train users on new tools and features, ensuring efficient adoption across the teams.
• May require other duties as assigned.

Job Requirements: 

• Bachelor's degree in Computer Science, Information Systems, Statistics, a related field, or equivalent practical experience 
• Master’s degree is a plus
• 8+ years of experience in data quality assurance, data validation, or a related role.
• Experience with data validation and testing tools.
• Experience writing test cases to validate transformations, joins, aggregations, etc.
• Experience with frameworks like pytest for test automation for data pipeline
• Experience working with various types of healthcare data (e.g., EHR, claims, sensors, genomics).
• Experience with scripting languages such as Python for test automation preferred.
• Experience with data visualization tools like Power BI or Tableau preferred.
• Knowledge of specific industry regulations or data standards relevant to the company preferred.
• Proven track record of supporting infrastructure or platform products.

Preferred Experience: 

• Strong SQL skills for querying, validating, and profiling data in Databricks notebooks.
• Strong understanding of data quality principles and methodologies.
• Proficiency in writing and executing SQL queries for data analysis and validation.
• Familiarity with data warehousing concepts and ETL processes.
• Excellent analytical and problem-solving skills with a strong attention to detail.
• Ability to interpret data requirements and technical specifications.
• Ability to work independently and collaboratively within a team environment.
• Strong understanding of healthcare data privacy, tokenization, and data linking concepts, vendors, and best practices.
• Proficiency in Python, especially for writing test scripts and PySpark code.
• Understanding of how data is manipulated with Spark DataFrames.
• Knowledge of data visualization tools (e.g., Tableau, Power BI, QLIK) and reporting solutions.
• Excellent problem-solving and analytical skills, with a strong attention to detail.
• Strong communication and collaboration skills, with the ability to interact with stakeholders at all levels of the organization.
• Demonstrated ability to think like a systems designer—mapping flows across multiple user types, channels, and points in the journey 
• Strong analytical, communication, and stakeholder management skills paired with excellent execution and attention to detail. 

Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers benefits packages including medical, dental, vision, life insurance, 401(k), paid holidays and vacation time, a company-sponsored wellness program, and much more our talent acquisition team will be happy to share with you. 

Premise Health is an equal opportunity employer; we value inclusion, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.