The opportunity to work with a high-performing and diverse team
A youthful and dynamic environment, that constantly focuses on learning and innovation
A company dedicated to ensuring growth and personal development for all its staff
A chance to make a difference on relevant policy and development issues

Our ideal candidates are entrepreneurial and passionate about international development. They have experience in development research, outstanding quantitative analysis skills and/or project management experience, and have demonstrated the ability to take an idea from the design stage through to implementation. Career-track positions require a minimum commitment of two years.

We are committed to ensuring the principle of equal opportunity and we welcome applications from qualified candidates with diverse backgrounds.

Core Team
(Career Track)

Laterite’s full time staff are divided into three teams:

The Research Team is responsible for all the technical and analytic work, from design through to analysis. Team members are recruited from leading international universities and include staff with strong backgrounds in statistics/econometrics, engineering, international development and public policy.

The Quality Team is in charge of designing and putting in place innovative tools and processes to monitor and constantly improve the quality of our work, from how we go about creating research instruments to ensuring we deliver high quality data and research. Members on the Quality Team combine excellent analytic and operational skills. 

The Data Team is responsible for all the complex operations related to data collection, from the very start of a project through to the delivery of a clean dataset. Joining the Data Team requires excellent managerial skills, a strong understanding of research methods, detail orientation and fluency in the local language.

Selection Process

Recruitment for the research, quality and data teams starts with the submission of an online application form including a CV. Candidates are asked to complete an online multiple choice assessment as part of their application (30 minutes or less). We then review the candidate's CV and application, and invite successful candidates to conduct an in-depth assessment. The final step is interviews covering case studies and experience.

Field Team
(Service Providers)

Laterite’s field team is responsible for all data collection activities.

Team members are hired on a per project basis (as service providers) and include enumerators, field coordinators, field supervisors, data auditors, moderators, and translators. Candidates for the field team must have a Bachelors degree, be fluent in English, the local language and have the ability to work effectively in rural and remote areas, often for extended durations of time. Prior experience working on research or other development-related projects is a plus.

Laterite encourages the professional development of the field team team through on-the-job training, project-based training sessions, and regular out-of-project professional development sessions (what we refer to as the Train4skills sessions).


Interview Process

The recruitment process for enumerator and moderator roles is conducted in three steps. We first screen candidates on their CV, cover letters and written samples. What we are looking for is excellent academic credentials (Bachelors degree is a minimum requirement), language skills, relevant professional experience (experience with research is strongly preferred), and particularly good writing skills.

Data Quality Analyst (Ethiopia)

The Data Quality Analyst position is based in Addis Ababa, Ethiopia. Data Quality Analysts at Laterite play a hands-on role in the implementation of projects by ensuring that relevant quality control measures are in place at all key stages of a project, from the coding of research instruments to data collection processes to the monitoring of incoming data. Other responsibilities include contributing to the improvement of the current quality control processes and tools.

You can find the full ToR and application link here.

Research Data Systems Manager (Rwanda)

We are looking for a Research Data Systems Manager with a strong interest in development research to lead our Data Quality Team. The Data Systems Manager will lead the development of the systems, tools and processes to improve data quality control and monitoring at all stages of the research process.

For more information and how to apply: download the full job description

Senior Research Associates (Kenya, Ethiopia)

Laterite is looking for accomplished researchers with a track record of experience in project and team management, combined with excellent technical skills and the motivation to work in East Africa.

Our two new Senior Research Associates will lead projects in our offices in Ethiopia (Addis Ababa) and Kenya (Nairobi). 

For more details and information on how to apply: please read the job description.

Research Analysts (Ethiopia, Rwanda)

Laterite is looking for early-career professionals with a keen interest in international development and exploring data to join our research teams in Rwanda (Kigali) and Ethiopia (Addis Ababa).

Our future Research Analysts have a post-graduate degree in Economics, Econometrics, Development Research, or in one of Laterite’s core sectors, and at least 1 year of experience working on development projects, impact evaluations or other research studies. Proficiency with STATA, R and/or Python is a must.

For more details and information on how to apply: please read the job description.

Research Analyst (Kenya)

Laterite is looking for an early-career professional with a keen interest in monitoring, evaluation and learning to join our research team in Nairobi, Kenya.

Our future Research Analyst has a post-graduate degree in Economics, Econometrics, Development Research, or in one of Laterite’s core sectors, and at least 2 years of experience on development, monitoring & learning or impact evaluations. Experience in Agriculture, Gender or Nutrition projects strongly preferred. Proficiency with STATA, R and/or Python is a must.

For more details and information on how to apply: please read the job description.