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AI Engineer – Rev Cycle Data Intelligence Analyst
Cedars-Sinai. Detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements for enterprise data intelligence projects .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL, data analysis, and healthcare applications, with a strong ability to produce reports and dashboards that meet clinical and business needs. Proficient in operationalizing AI and analytics solutions while ensuring data quality and compliance in a healthcare environment.
Highest-signal resume keywords
SQLPythonREpic CertificationReporting Workbench
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisBusiness Requirements GatheringData Quality RequirementsPredictive AnalyticsNatural Language ProcessingAnomaly DetectionCustom ReportingProcess MappingStakeholder AnalysisOperational Workflow Re-engineering
Soft Skills
Critical ThinkingCommunicationProblem SolvingCollaborationLeadership
Tools & Technologies
PowerBISQL ServerClarity ReportsRadar BuildHospital Administrative Applications
Certifications & Qualifications
Epic (HB and/or PB) CertificationSQL Server Certification
Industry Keywords
HealthcareRevenue Cycle AnalyticsPatient-Care DatabasesData Warehousing TechnologyHospital Billing
Tech Stack
Tools & technologiesOraclePythonSQL
About the role
Key responsibilities & impact- Detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements for enterprise data intelligence projects
- Create specifications for reports and analyses based on business and clinical needs
- Produce datasets, reports, ad-hoc requests, dashboards, and other analytic outputs
- Conduct data analysis supporting varied analytic solutions
- Build, validate, and operationalize AI and analytics solutions in a secure healthcare environment
- Support revenue cycle customers with hospital and professional billing analytics
- Accelerate predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence
- Triage data-request intake and understand business needs
- Apply healthcare knowledge and critical thinking to recommend solutions
- Provide quantitative and qualitative analysis of patterns, insights, and trends to decision-makers
- Participate in operational workflow re-engineering with end users and business owners
- Lead requirements and process analysis, process mapping, stakeholder analysis, and specification gathering
- Provide recommendations using current and projected data
- Serve as primary vendor contact for complex projects and critical issues
- Lead quality assurance and integrated testing initiatives
- Manage testing projects as needed
- Contribute to strategy discussions by identifying options and associated pros and cons
Requirements
What you’ll need- Three (3) plus years’ experience with SQL
- Demonstrated ability with query tools such as Python, R, Oracle, Microsoft SQL, and PowerBI
- One (1) plus years of experience with hospital billing and professional billing modules in Epic
- Hands-on experience performing reporting analysis and developing custom reports
- Familiarity with patient-care databases, hospital administrative applications, and data warehousing technology
- Experience analyzing Clarity report requests, Reporting Workbench, and Radar build requests
- Demonstrated understanding of healthcare applications and patient care providers’ needs and priorities
- Technical proficiency in Reporting Workbench and Radar build
- Ability to teach sophisticated Reporting Workbench and Radar build concepts
- Bachelor’s degree in Computer Science or related field required
- Epic (HB and/or PB) Certification preferred
- SQL Server certification preferred
Benefits
Comp & perks- Outstanding benefit package
- Competitive salary
- Inclusive work environment
- Innovation-focused workplace
- Patient care and physician/staff wellbeing initiatives