Data Quality Analyst

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. 

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood. 

• Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. 
• Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. 
• Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. 
• Dare to innovate: We challenge the status quo with creativity and innovation as our true north. 
• Better together: We check our egos at the door. We work together, so we win together. 

The Analytics – Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of data within key source systems across the enterprise.  This role is critical for maintaining the integrity of survey and reporting data, enforcing data quality standards, strict data governance, and ensuring compliance with both regulatory and non-regulatory requirements. The ideal candidates possess deep knowledge of data quality principles, healthcare, clinical and health plan data, and associated business rules, ensuring that data inputs and outputs meet all specified criteria.

• Work cross-functionally with survey programming, sampling, operations, engineering and analytics to ensure end-to-end data quality and accuracy
• Serve as the SME on data quality standards and business rules for healthcare and health plan data to ensure accurate, reliable, and compliant data handling.
• Develop and enforce data quality protocols, working closely with cross-functional teams to ensure data entering and exiting various source systems meet required specifications.
• Monitor data flows, perform data validation, and ensure data transformations are accurate, detecting and resolving issues in real-time to maintain data integrity.
• Design and implement automated data quality checks and validations to ensure compliance with regulatory and business requirements.
• Collaborate with data engineers, analysts, and compliance teams to address data quality issues, resolve discrepancies, and continuously improve data quality processes.
• Maintain and update documentation on data rules, business logic, and quality control procedures, ensuring clear guidelines are available for both technical and business users.
• Act as a liaison with regulatory teams to ensure that data management practices align with evolving regulatory standards and non-regulatory specifications.

• Proven experience (5+ years) in data quality management, data governance, or data analysis, with a deep understanding of data quality processes and tools.
• Strong knowledge of healthcare, clinical and/or health plan data structures, business rules, and compliance requirements within regulatory and operational contexts.
• Proficiency in SQL and data quality tools (e.g., Informatica Data Quality, Talend, Collibra) for data validation, profiling, and monitoring.
• Understanding of data architecture and ETL processes, with experience validating data across different stages of data pipelines.
• Strong problem-solving skills and attention to detail, especially regarding data accuracy and consistency.
• Excellent written and verbal communication skills to document data rules, quality protocols, and collaborate effectively with cross-functional teams.
• Knowledge of regulatory frameworks (e.g., GDPR, CCPA) relevant to data quality and compliance.
• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform) and data warehousing.

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class. 

The expected base salary for this position ranges from $90,000 to $100,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.  

All your information will be kept confidential according to EEO guidelines.

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