AI Engineer, Data Intelligence Analyst
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Job Description
AI Engineer analyzing data intelligence projects at Cedars-Sinai. Supporting AI solutions development and healthcare data analysis in a secure environment.
Responsibilities:
- Works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements support of enterprise data intelligence projects.
- Creates specifications for reports and analysis based on business/clinical needs and data elements required or available.
- Produces data sets, reports, ad-hoc requests, dashboards, etc.
- Conducts data analysis in support of a variety of analytic solutions.
- Provide the specialized expertise needed to build, validate, and operationalize AI and analytics solutions in a secure healthcare environment.
- Supports Azure Fabric migration by developing reusable data models, pipelines, semantic layers, AI-ready datasets, and governance-aligned reporting assets.
- Accelerate delivery of predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence to reduce manual analysis, surface risks earlier, and improve decision speed across the organization.
Requirements:
- Three (3) plus years’ experience with SQL and demonstrated ability with a range of query tools such as Python, R, Oracle, Microsoft SQL, Tableau, etc.
- Developing Epic Clarity reports preferred.
- Hands on experience performing reporting analysis and developing custom reports.
- Familiarity with databases used in patient care, administrative applications for hospitals, and data warehousing technology.
- Experience analyzing basic to moderately sophisticated Clarity report requests, Reporting Workbench and Radar build requests.
- Demonstrated understanding of healthcare applications as well as the needs and priorities of patient care providers.
- Technical proficiency in Reporting Workbench and Radar build. Able to teach sophisticated Reporting Workbench and Radar build concepts.
Benefits:
- Outstanding benefit package
- Competitive salaries
- Inclusive environment
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