Associate Data Quality Analyst

Summary of Essential Job Duties
Supports the Institution's Enterprise Data Quality Management program. The goal is to improve data integrity and information usability for internal decision making and for the increasing 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 adherence to data quality standards.
  • Resolves 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 effectiveness 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.

Educational Requirements:
Bachelor’s degree in Information Science, Computer Science, a quantitative discipline in science, Health Administration, Public Health or related healthcare field.
1. Typically requires minimum 1-2 years of relevant work experience.
2. Relational Database programming experience such as Oracle, SQL.
3.Demonstrated understanding in data/information quality principles and practices.
4. Knowledgeable in database development cycle including requirements gathering, modeling, coding, and testing.
5. Must possess excellent verbal and written communication skills
6. Display intellectual curiosity and ability to articulate business context relevant to the job
7. Strong problem-solving skills and persistence to solve difficult problems.
8. Ability to work in teams, ability to follow directions, ability to manage completion of multiple tasks within specified timeframes.