Data Analyst (Enterprise Data Intelligence Team) - Hybrid

Grow your career at Cedars-Sinai!

We were recently named one of the "Best Places to Work in IT 2025" by Computerworld and ranked #2 among large organizations for hybrid work.

The organization’s Healthtech excellence was acknowledged again, this time by the esteemed “CHIME Digital Health Most Wired“ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.

Why work here?

Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for.

What will you be doing in this role:

The Associate Data Quality Analyst 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.

Hybrid Remote = must currently live in Los Angeles area or willing to relocate to LA area for onsite requirements

Experience Requirements:

Demonstrated understanding of data/information quality principles and practices. 

Preferred to have SQL experience. Able to compare data, how to approach & use data.

Knowledgeable in database development cycle including requirements gathering, modeling, coding, and testing.

Must possess excellent verbal and written communication skills.

Ability to work in teams, ability to follow directions, ability to manage completion of multiple tasks within specified timeframes.

Educational Requirements:

High School Diploma/GED required.

Bachelor’s degree in Information Science, Computer Science, a quantitative subject area: Science, Health Administration, Public Health or related healthcare field. (preferred)

Master’s degree in: Information Science, Computer Science, or related field. (preferred)

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