Job Information
Cedars-Sinai Associate Data Analyst - Hybrid Remote in Los Angeles, California
Job Description
Grow your career at Cedars-Sinai!
The Enterprise Information Services (EIS) team at Cedars-Sinai understands that true clinical transformation and the optimization of a clinical information systems implementation is fueled through the alignment of the right people, processes, and technologies. Cedars-Sinai has once again solidified its position as a global healthcare technology leader, receiving top accolades in not one but two prestigious surveys.
Why work here?
Cedars-Sinai placed in the top 20 on Newsweek ’s “ World's Best Smart Hospitals 2024 ” list, which highlights hospitals that have excelled in the utilization of electronic functionalities, telemedicine, digital imaging, artificial intelligence and robotics.
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 domains and particularly excelled in the areas of infrastructure, interoperability, and population health innovation.
What will you be doing:
The Associate Data Analyst supports Cedars-Sinai’s Enterprise Data Quality Management 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 cross 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 consistency 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.
Qualifications
Experience Requirements:
One (1) plus years of relevant work experience. Role of a Data Analyst preferred.
Demonstrated understanding in data/information quality principles and practices.
Knowledgeable in database development cycle including requirements gathering, modeling, coding, and testing.
Display intellectual curiosity and ability to articulate business context relevant to the job.
Strong problem-solving skills and persistence to solve difficult problems.
Ability to work in teams and handle completion of multiple tasks within specified timeframes.
Educational/Certification Requirements:
Bachelor’s degree in Information Science, Computer Science, a quantitative discipline in science, Health Administration, Public Health, or related healthcare field. (preferred)
Master’s degree preferred.
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Req ID : 1372
Working Title : Associate Data Analyst - Hybrid Remote
Department : Data Quality and Governance
Business Entity : Cedars-Sinai Medical Center
Job Category : Information Technology
Job Specialty : Bus Intelligence/Reporting
Overtime Status : NONEXEMPT
Primary Shift : Day
Shift Duration : 8 hour
Base Pay : $28.18 - $45.09
Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.