Information TechnologyContractorMid-level(3-5 yrs)
Job Description
This is a mid-level technical role for someone who finds genuine satisfaction in turning messy field data into clean, rigorous evidence. You'll build and maintain data processing pipelines, design and programme survey instruments, conduct real-time data quality audits during fieldwork, and produce the statistical outputs that sit at the heart of our evaluation reports. The role spans desk and field: expect 30–40% international travel, with deployments typically running 2–4 weeks.
Key Responsibilities
Data Pipeline Management: Build and maintain robust data processing pipelines to transform field data into clean datasets.
Survey Design: Design and programme digital survey instruments using platforms like KoboToolbox, ODK, or SurveyCTO.
Quality Assurance: Conduct real-time data quality audits during active fieldwork phases.
Statistical Output: Produce statistical outputs and visualizations that form the core of evaluation reports.
Fieldwork: Participate in international deployments (30–40% travel) for 2–4 weeks at a time, specifically across the Sahel, Great Lakes, and Central Africa.
Required Qualifications and Experience
Experience: 5+ years of data analysis experience in international development, humanitarian, or research consultancy settings.
Programming Skills: Strong Python skills (specifically pandas, NumPy, matplotlib or equivalent), with the ability to write scripts from scratch.
Technical Tools: Experience with digital mobile data collection tools (KoboToolbox, ODK, or SurveyCTO).
Development Tools: Working knowledge of Git for version control and familiarity with Docker.
Methodology: Solid grounding in sampling methodology, including probability-based sampling, stratification, and sample size estimation.
Field Experience: Prior fieldwork experience and a genuine enthusiasm for in-person data collection.
Language: French language skills are a significant asset due to a growing Francophone portfolio.
A CV demonstrating relevant technical skills, analytical experience, and any fieldwork deployments.
A cover letter addressing your experience with Python-based data analysis, digital survey platforms, and your interest in international development research.
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