Description

ICF is growing, and we are hiring a Senior 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.

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 (https://agrilinks.org/search?keywords=ZOI), 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 capacity of USAID mission and implementing partner staff, host country government, and local civil society’s capacity 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, to interpret findings and write analysis results for survey reports, and to 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

• Designing samples for population-based surveys, using complex sample

• 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 statistics, data science, economics, epidemiology, public policy, demography, or related subjects

• 3+ year of experience managing large, population-based survey datasets and analyzing data to produce sample weighted estimates for the population

• 3+ years of experience in designing samples for population-based surveys, using complex sample design features, and calculating sampling weights

• 3+ years of experience using Stata and SAS or R

• 3+ years of experience conducting statistical analysis, including multivariate methods

Preferred Qualifications:

• Experience working with data collected for international development projects

• Experience working with data collected for international development projects

• Experience using R or SPSS or GIS

• Experience in analyzing food security data

• Experience working on USAID-funded studies

• Experience presenting to diverse audiences

• Written and oral French, Spanish, or Portuguese language skills

• Understanding the impact of sample design features on survey estimates

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy (https://www.icf.com/legal/equal-employment-opportunity) .

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more here: Requesting an Accommodation for the ICF interview process (http://careers.icf.com/us/en/accommodations) .

Read more about workplace discrimination rights , the Pay Transparency Statement (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) , or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. (https://www.icf.com/legal/equal-employment-opportunity)

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$79,643.00 - $135,392.00

Rockville, MD (MD18)