Seeking individual consultant to conduct cleaning and analysis of village data from Arusha and Kilimanjaro Regions in Tanzania

Fruits and Vegetables for Sustainable Healthy Diets (FRESH) Initiative

Cleaning and analysis of village data from Arusha and Kilimanjaro Regions

Background

Under FRESH (Fruit and Vegetables for Sustainable Healthy Diets), a recently launched One CGIAR Initiative, the International Food Policy Research Institute (IFPRI) implemented a survey to understand fruit and vegetables consumption and vegetable production in Tanzania. The survey was conducted in the Arusha and Kilimanjaro regions of Tanzania between October 2023 and January 2024. Data were collected at the village and household levels in 33 villages. At the village level, a quantitative questionnaire was used to collect data on village demographic structure, infrastructure, employment characteristics, access to facilities, water tables, distance to markets, and quality of power supplies, among other key characteristics.

Activities

The consultant will conduct cleaning and analysis of the village data. Specifically, the consultant will execute the following:

• Data cleaning: name and label all variables to ensure all data match paper questionnaire and the FRESH data management guidelines; ensure data completeness and validity.
• Data analysis: generate analysis indicators for all modules of the village questionnaire, prepare tables and figures with these indicators disaggregated by region, district, and treatment arm.
• Draft a research brief summarizing village level results.

Location

All work will be done remotely.

Duration

The duration of this consultancy is one month.

Deliverables (dates to be determined)

1. Clean datasets
2. All associated do files for data cleaning and analysis
3. Draft research brief

Required qualifications

• Master’s degree in public health, international development, public policy, nutrition, economics, social science, or other closely related field
• Demonstrated experience with data cleaning and analysis in Stata
• Demonstrated written proficiency in English
• Demonstrated ability to multi-task, consistently meet deadlines and manage time well
• Demonstrated professional level of attention to detail and accuracy of work
• Ability to work independently, with initiative and minimal supervision