Analyst, Applications II — Data Insights & Power BI (Hybrid)

IU Health

Indianapolis (IN)

Hybrid

USD 70,000 - 95,000

Full time

5 days ago
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Job summary

Indiana University Health is seeking an Analyst-Applications II to join our Information Services team in Indianapolis. You will analyze complex clinical and healthcare data using SQL Server, SSMS, and Azure data platforms, and transform data into actionable insights for researchers and clinicians.

Contribute to data visualization, reporting, and cross-functional collaboration to support research and operational decisions. Strong communication with stakeholders is essential.

Qualifications

  • Bachelor's Degree or equivalent years of experience is required.
  • 3-5 years of experience required.
  • Prefers experience with databases and clinical applications.
  • Requires knowledge of multi-application and system interdependencies.

Responsibilities

  • Performs data analysis and reporting using Microsoft SQL Server, SSMS, and Azure data platforms. Transforms and models data to support clinical research, business insights, and decision-making while ensuring data accuracy and quality.
  • Improves reporting processes and delivers actionable insights through effective data visualization and analysis.
  • Requires experience using Microsoft BI tools, such as Power BI, for reporting and visualization.
  • Requires the ability to build and maintain dashboards and reports and analyze moderately complex datasets to identify trends.

Skills

SQL
Power BI
Azure data platforms
Data modeling
Multi-database interdependencies

Education

Bachelor's degree or equivalent years of experience

Tools

SQL Server
SSMS

Job description

Indiana University Health is seeking an Analyst-Applications II to join our Information Services team in Indianapolis. You will analyze complex clinical and healthcare data using SQL Server, SSMS, and Azure data platforms, and transform data into actionable insights for researchers and clinicians.

Contribute to data visualization, reporting, and cross-functional collaboration to support research and operational decisions. Strong communication with stakeholders is essential.

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