Associate Data Quality Analyst

The Enterprise Information Services (EIS) team at Cedars-Sinai understands that patients want to manage their healthcare using a variety of devices and touchpoints and that creating a seamless patient experience requires alignment of the right people, processes and technologies.

Why work here?

Beyond outstanding benefits, competitive salaries and health and dental insurance, we take pride in hiring the best employees. Our accomplished staff reflects the culturally and ethnically diverse community we serve. They are proof of our commitment to creating a dynamic, inclusive environment that fuels innovation and the gold standard of patient care we strive for.

Supports the Institution's Enterprise Data Quality & Governance program. The goal is to improve data integrity and information usability for internal decision making and for the growing external data demands. This is accomplished by applying data quality management principles in multi-functional settings specifically across the administrative and financial information supply chain as well as clinical progression of care. The Enterprise Data Quality Analyst will interact with various business data owners, data production system staff, data analysts, and decision makers to develop and implement proactive data quality practices.

• Performs data and process validations for recurring and ad hoc data loads and analytics for internal and external customers.
• Ensures alignment to data quality standards.
• Resolve data quality incidents reported to Data Quality & Governance (DQG) from data users across Cedars-Sinai.
• Uses data quality tools to proactively identify data integrity issues.
• Develops and implements proactive data quality monitoring procedures and practices.
• Monitors, maintains, and extends the efficiency of DQG's process and help documentation.
• Innovates and provides collaborative leadership for DQG in documentation and support including advocating for excellence in quality and customer service, increased automation and efficiency, and proactive business process improvements.