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University of North Carolina at Chapel Hill

Technology Support Analyst

🇺🇸 Chapel Hill, NC

🕑 Temporary

💰 $25 - $30 per Hour

💻 Information Technology

🗓️ August 12th, 2025

Canva Power BI Python

Edtech.com's Summary

The University of North Carolina at Chapel Hill is hiring a Technology Support Analyst. This part-time role involves developing, deploying, and supporting data collection platforms and interactive dashboards to improve data-driven decision-making in global health settings. The analyst will collaborate with multidisciplinary teams to enhance health informatics systems and support global health innovations with actionable data tools.

Highlights

  • Develop and upgrade RuSH medical record systems tailored to clinical workflows and support integration, testing, and user training.
  • Build and manage REDCap and ODK forms for field data collection, providing technical support and training for field teams.
  • Design and maintain health data dashboards using Power BI, Shiny, and Tableau, automating data pipelines for real-time decision-making.
  • Collaborate with principal investigators, clinical, research, and monitoring and evaluation teams to align IT tools with global health strategies.
  • Document workflows, system configurations, user guides, and review data standard operating procedures for research sites.
  • Experience required with EMR systems (e.g., OpenMRS, DHIS2), REDCap, ODK, and proficiency in Power BI and Tableau.
  • Preferred skills include Python, CSS, SQL, Node.js, Linux Bash, nVivo, Qualtrics, SPSS, and experience in low-resource global health settings.
  • Position requires an Associate's or Bachelor’s degree in a relevant field along with one or more years of IT experience; advanced experience preferred.
  • Compensation ranges from $25.00 to $30.00 per hour for a 20-hour per week, temporary part-time position lasting up to 11 months.
  • Supports the Institute for Global Health and Infectious Diseases at UNC Chapel Hill, focusing on improving health outcomes through scalable data-driven global health strategies.