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OVC and HIV Prevention Data Analysis Advisor
Description :
Required:
Minimum 7 years of relevant technical experience with a master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related technical field or a minimum 9 years of relevant technical experience with a bachelor's degree.
Strong quantitative background and experience in data collection, management, cleaning, processing, and applied analysis using one or more of these statistical software or programming languages: Python, Stata, SAS, R, SPSS, MATLAB, Tableau, PowerBI.
Ability to produce compelling data visualization products.
Curious, self-motivated individual with excellent communications skills -- must be able to distill highly technical quantitative methods into policy relevant snippets.
Experience translating analysis into briefing documents or presentations for senior leadership.
Ability to apply data science analytical techniques to problems and data sets spanning diverse sectors as agriculture, democracy & governance, economic growth, education, environment, and health.
Strong writing and analytic skills.
Experience in data analysis, geographic information systems (GIS), biostatistics, data entry and validation, evaluation methods and research, including experience with statistical software.
Experience using ArcGIS and/or QGIS products to collect, organize, analyze and visualize spatial data.
Experience with meta-data standards and database best practices.
Experience working effectively in a multidisciplinary environment.
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