Geisinger
Geisinger
Geisinger — Пенсильванияда орналасқан, қолжетімді медициналық қызметтер мен пациенттерге инновациялық көмек көрсету арқылы жергілікті қауымдастықтарға қызмет ететін денсаулық сақтау ұйымы. 1915 жылы құрылған ұйым мейіргерлік іс, қосалқы медициналық қызметтер, әкімшілік және денсаулық сақтаудың басқа да бағыттары бойынша қызметкерлер қабылдайды. Сонымен қатар кәсіби дамуға және әртүрлілікті, теңдікті әрі инклюзияны бағалайтын жұмыс ортасын қалыптастыруға басымдық береді.

Senior AI Business Intelligence Analyst at Geisinger

Senior analyst role focused on using healthcare data to guide AI portfolio decisions and measure performance in production. The position supports clinical and operational functions across Geisinger’s integrated health system.

Сипаттама

  • Collaborate with product managers to size problems, quantify opportunities, establish baselines, and define success measures
  • Perform exploratory analysis during model development by assessing data quality, examining distributions, and detecting anomalies
  • Create and maintain feature datasets and data definitions for AI model development
  • Develop measurement frameworks that monitor production AI performance and clinical and operational outcomes
  • Evaluate AI initiatives using Epic, Clarity, Caboodle, and other enterprise data sources to identify performance trends and improvement opportunities
  • Work with clinical and operational teams to trace and resolve data quality problems at their source
  • Present complex analytical results through clear narratives and visualizations for product and strategy leaders
  • Create reusable data standards and maintain reliable documentation
  • Collaborate across clinical, operational, health plan, and pharmacy functions with product managers, data scientists, clinical partners, and organizational leaders
  • Support AI portfolio decisions, investment prioritization, performance validation, and leadership communications

Талаптар

  • At least five years of experience in business intelligence, data analytics, or healthcare informatics
  • Advanced SQL proficiency
  • Experience querying Epic Clarity or Caboodle databases
  • Ability to build production-ready dashboards with Tableau, Power BI, or Qlik
  • Professional experience in healthcare environments
  • Familiarity with clinical workflows, revenue cycle measures, or quality reporting
  • Strong communication skills for explaining analytical conclusions to nontechnical audiences
  • Ability to work effectively amid ambiguity, rapid change, and competing priorities
  • Bachelor’s degree in data science, informatics, health administration, or a related discipline
  • High school diploma or GED required
  • At least eight years of relevant experience required
  • Relevant experience may combine related professional work and an earned degree
  • Advanced degree preferred
  • Healthcare experience supporting AI or machine learning product teams preferred
  • Familiarity with Epic Reporting Workbench, SlicerDicer, or Radar dashboards preferred
  • Exposure to clinical quality measures, coding capture, or patient throughput analytics preferred
  • Experience participating in vendor RFI or RFP evaluations preferred

Артықшылықтар

  • Healthcare coverage for full-time and part-time employees beginning on the first day
  • Vision insurance
  • Dental insurance
  • Domestic partner benefits
  • Collaborative, cooperative, and collegial work environment

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