Associate BI Analyst: Data Insights & Impact

Geisinger

Danville (PA)

Vor Ort

USD 65.000 - 90.000

Vollzeit

vor 43 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Geisinger is seeking an Associate BI Analyst to provide analytic support to business and clinical areas, using data structures, programming, and statistics to drive data-driven decisions. Under direct supervision, you will collect, clean, and interpret data sets, identify opportunities for improvement, and support evaluation of existing processes.

You will translate analyses for non-technical stakeholders and build trust with customers.

Qualifikationen

  • High School Diploma or GED required.
  • Minimum of 6 years relevant experience required.

Aufgaben

  • Observes during consultation process and documents project requirements and scope with assistance from more experienced analysts.
  • Collaborates with internal partners and organizations in the design and development of reporting solutions and analytic studies to support business needs.
  • Plans projects and request completion tasks with assistance from more experienced analysts.
  • Provides time and effort estimates based on requirements gathering and manages projects with supervision.
  • Demonstrates working knowledge of relevant source systems and databases/data marts within the first year; stays updated on industry trends and BI software systems.
  • Recommends analysis approach and additional analyses or reporting based on business questions and initial findings.
  • Develops, validates, and executes simple queries; creates basic reports and performs routine data analysis; interprets results and makes recommendations under supervision.
  • Presents analysis and reports to internal customers and stakeholders.

Ausbildung

High School Diploma or GED

Jobbeschreibung

Geisinger is seeking an Associate BI Analyst to provide analytic support to business and clinical areas, using data structures, programming, and statistics to drive data-driven decisions. Under direct supervision, you will collect, clean, and interpret data sets, identify opportunities for improvement, and support evaluation of existing processes.

You will translate analyses for non-technical stakeholders and build trust with customers.

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