ICF is growing, and we are hiring a Food Security Survey Data Analyst to analyze the population-based survey data that is collected from household surveys around the globe.
This is a full-time, hybrid position based in Rockville, Maryland.
Ensure you read the information regarding this opportunity thoroughly before making an application.
The Team :
ICF manages the USAID-funded Surveys for Monitoring in Resilience and Food Security (SMRFS) project as part of Feed the Future, the U.
S. Government’s flagship initiative to reduce global hunger and improve food security. The SMRFS Team collaborates with local survey implementing organizations to implement population-based surveys (PBS) in targeted geographical areas where the U.
S. Government and its partners invest in agriculture, resilience, and nutrition. The SMRFS Team also works with USAID to update and expand Feed the Future’s publicly available population-based survey guidance materials, conduct additional analyses, and investigate ways to reduce burden and collect data using alternative methods.
Once the population-based survey data is collected in a country, the data analysis team cleans and analyzes the data and then summarizes and interprets findings for survey report.
In collaboration with the project’s Capacity Strengthening Advisor, the data analysis team is responsible for strengthening the capacity of USAID mission and implementing partner staff, host country government, and local civil society to analyze and use the PBS data once collected.
The data analysis team leads ad hoc and in-depth secondary data analysis.
The Work :
As a member of the data analysis team, the food security survey data analyst will work with others to analyze survey data, interpret findings, write analysis results for survey reports, and participate in strengthening data analytic capacity in the countries where data is collected.
Key Responsibilities :
- Conduct analyses of large survey data sets using statistical software packages
- Review the analysis of other staff members
- Perform literature reviews
- Contribute to writing survey reports
- Draft and present findings to diverse audiences
- Strengthen data analysis capacity of in-country partners through training and coaching
- Assist other project members on non-data analysis activities as needed
- Present findings orally and in writing in English
- May travel to low- and middle-income countries up to 15% time
Required Qualifications :
- Masters degree in economics, statistics, data science, epidemiology, public policy, demography, or related subject
- 1+ years of experience conducting statistical analysis, including multivariate methods
- 1+ years of experience using Stata and R
- 1+ year of experience managing large, population-based survey datasets
Preferred Qualifications :
- 1+ years of experience working with data collected for international development projects
- 1+ years of experience applying sample weights to data sets
- 1+ years of experience working on USAID-funded studies
- 1+ years of experience in analyzing food security data
- Experience presenting to diverse audiences
- Written and oral French, Spanish, or Portuguese language skills
- Experience using SAS or SPSS or GIS
Pay Range : The pay range for this position based on full-time employment is : $65,820.00 - $111,894.00 Rockville, MD (MD18)
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