Firm to Conduct Complementary Quantitative Data Collection Survey

Job Posting Organization:
The job is posted under the CGIAR Sustainable Animal and Aquatic Foods (SAAF) Program, which is part of a global research partnership aimed at reducing poverty and enhancing security" style="border-bottom: 1px dotted #007bff !important;">security" style="border-bottom: 1px dotted #007bff !important;">food security through sustainable agricultural practices. CGIAR was established in 1971 and operates in over 50 countries worldwide, employing thousands of researchers and staff dedicated to improving agricultural productivity and sustainability. The organization focuses on various agricultural sectors, including crops, livestock, and fisheries, and collaborates with numerous partners to achieve its mission of improving food systems and livelihoods.

Job Overview:
The position involves a firm that will adapt, pre-test, and administer the MELIAF modules as part of a household survey in Kajiado County, Kenya. This survey is a complementary activity to the main data collection being conducted by IWMI, which assesses the impact of water bunds in pastoral communities. The firm will be responsible for integrating standardized modules into the household survey, ensuring that the data collected is harmonized and relevant to the local context. The work will require collaboration with IWMI and Justdiggit, focusing on three types of communities: those with long-established water bunds, those with recently introduced bunds, and those with no bunds. The firm will need to ensure that the survey is conducted effectively, with a focus on gender-transformative approaches and the involvement of local enumerators who understand the pastoral context.

Duties and Responsibilities:
The firm will undertake several key activities: 1) Review and translate the MELIAF modules to ensure they are contextually appropriate and accurately reflect the original English version. 2) Pre-test the modules and document the results, including any issues encountered during translation and comprehension. 3) Provide experienced enumerators who are familiar with quantitative surveys in rural settings, ensuring a gender-balanced team. 4) Train the enumerators, combining classroom instruction with practical field training, and allowing for adjustments based on IWMI's feedback. 5) Conduct data quality checks during and after the survey, addressing any inconsistencies or issues that arise. 6) Deliver a clean dataset in Stata format along with a comprehensive data collection report detailing the fieldwork and any challenges faced during the process.

Required Qualifications:
The position requires a firm that is registered in Kenya and has prior experience in conducting household data collection in rural or pastoral areas, ideally in Kajiado County or similar contexts. The firm should have an established team of field enumerators, including female enumerators, who are proficient in both Maa and Swahili. This ensures that the data collection process is culturally sensitive and effective in engaging with the local communities.

Educational Background:
While specific educational qualifications are not explicitly stated, it is implied that the firm should have a strong background in social sciences, statistics, or a related field that supports the understanding and execution of quantitative data collection methodologies. The team should be well-versed in survey design and implementation, particularly in rural and pastoral settings.

Experience:
The firm must demonstrate a proven track record of experience in household data collection, particularly in rural or pastoral environments. Experience in Kajiado County or similar pastoral contexts is preferred, as it indicates familiarity with the local culture and community dynamics, which is crucial for effective data collection and engagement.

Languages:
Proficiency in Maa and Swahili is mandatory for all enumerators, as these languages are essential for effective communication with the local communities. Knowledge of English is also beneficial, particularly for the translation and back-translation processes to ensure accuracy in the survey instruments.

Additional Notes:
The contract duration for this assignment is from November 1, 2026, to December 15, 202

• The final dataset and data collection report are due by December 15, 202
• The firm is expected to upload a proposal detailing their approach, human resources, timing, and costs associated with the project. This includes specifics on staff time, training of trainers, field data collection, and overhead costs. The applicant should be a local survey firm capable of managing a contract with IFPRI and sourcing the necessary human resources to fulfill the project requirements.