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Health Data Analyst
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- Bachelor's degree in public health, health informatics, data science, statistics, epidemiology, or related discipline
- 5+ years' work experience writing complex data analytic code using R, Python, SAS, Stata, SPSS, SQL, or Excel to extract and manipulate datasets from large data repositories and databases
- 5+ years' work experience using at least two business intelligence tools such as Tableau, Power BI, MicroStrategy
- 2+ years' using ESRI Geographic Information Systems to develop innovative spatial solutions to address a wide range of health issues
- 2+ years' experience supporting USAID-funded projects with data analyses, including MEL data for programmatic decision-making
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