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Data/Research
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.
You'll be a strong fit if you bring:
- 5+ years of data analysis experience in international development, humanitarian, or research consultancy settings
- Strong Python skills (pandas, NumPy, matplotlib or equivalent), writing scripts from scratch rather than adapting templates
- Experience with KoboToolbox, ODK, or SurveyCTO for survey design and programming
- Working knowledge of Git for version control and familiarity with Docker
- Solid grounding in sampling methodology, including probability-based sampling, stratification, and sample size estimation
- Prior fieldwork experience and genuine enthusiasm for in-person data collection
- French language skills are a real asset, given our growing Francophone portfolio across the Sahel, Great Lakes, and Central Africa.
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