Ambulatory Operations Data Analyst

Duke Clinical Research Institute

Durham (NC)

On-site

USD 85,000 - 110,000

Full time

6 days ago
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Job summary

Duke Health in Durham, NC seeks an Ambulatory Operations Analyst to support performance management and data analytics across Duke Primary Care and related clinics. You will partner with executives to drive data-driven improvements in access, quality, and cost of care.

The role requires 3+ years in data analysis, strong SQL skills, and experience with Tableau, Power BI, JMP, or Fabric. You will build dashboards, perform in-depth analyses, and translate findings into clear recommendations for

Qualifications

  • Bachelor's degree or 4 years of equivalent technical experience are required.
  • 3+ years of experience in data analysis and related fields, preferably in healthcare.
  • Proficiency in SQL for moderate to complex queries.
  • Experience with visualization tools like Tableau/Power BI; JMP is a plus.

Responsibilities

  • Support performance management and data analytics for Ambulatory Services.
  • Develop dashboards and reports for leadership to inform decision making.
  • Translate data insights into actionable recommendations for process improvements.
  • Communicate findings clearly to non-technical stakeholders.
  • Collaborate with clinical and operational leaders to align analytics with goals.

Skills

SQL proficiency
Data analysis
Tableau
Power BI
JMP
Communication

Education

Bachelor's degree or 4 years' equivalent experience

Tools

Tableau
Power BI
JMP
Fabric

Job description

Duke Health in Durham, NC seeks an Ambulatory Operations Analyst to support performance management and data analytics across Duke Primary Care and related clinics. You will partner with executives to drive data-driven improvements in access, quality, and cost of care.

The role requires 3+ years in data analysis, strong SQL skills, and experience with Tableau, Power BI, JMP, or Fabric. You will build dashboards, perform in-depth analyses, and translate findings into clear recommendations for

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