Quantitative Researcher / Data Analyst
Department: Impact
Employment Type: Full Time
Location: Kazakhstan
Description
The Child Visibility Initiative (CVI) is a system-level intervention working to reduce preventable social orphanhood. We start from a simple observation: most children separated from families could have been seen and supported earlier, but state systems lose them at predictable life-stage transitions — birth registration, immunization, school entry, separation events. We measure where these “leakage points” occur and how systems differ in preventing them.
The CVI Index is the flagship analytical product — a country-level global diagnostic measuring how systems perform across the dimensions of Recognition, Continuity, and Safe Access.
We are hiring a Quantitative Researcher to do the hands-on analytical work behind the index. You will spend most of your time inside survey microdata — cleaning, processing, harmonizing across countries and rounds — and producing the analytical findings that feed the CVI Index and the country case studies. Methodology direction is set by our advisor; your job is to execute it well, spot what the data are saying, and surface insights the team can act on.
This is a technical role first. We are looking for someone who is genuinely good with data and tools, knows survey microdata in their bones, and can produce sharp analytical findings from messy reality.
What You Will Do
- Process survey microdata across multiple countries (MICS, DHS, ENSANUT and equivalents): ingest, clean, harmonize, apply weights and complex sampling design
- Build and maintain the analytical pipeline with SPSS; write reproducible scripts with clear documentation
- Produce country-level analytical findings on patterns of leakage and system performance — feeding the index, dashboards, and country case studies
- Investigate anomalies, data-quality issues, and unexpected indicator behavior; flag and resolve before they propagate
- Implement methodology decisions made by the advisor; suggest pragmatic improvements based on what you see in the data
- Contribute to country case studies
- Collaborate with the methodology advisor and the founding team in regular working sessions
We Are Looking For Someone Who
- Has substantial hands-on experience with survey microdata (MICS, DHS, LSMS, or equivalents) — comfortable with weights, complex sampling, and harmonization across rounds and countries
- Programs fluently in Stata or R; can audit, refactor, and document complex data pipelines
- Can produce sharp analytical findings from messy data — knows how to look at numbers, spot what matters, and communicate it clearly
- Holds a relevant degree (Master’s or PhD) in economics, public health, statistics, demography, or quantitative social science — or equivalent professional experience
- Reads and writes English at professional level
- Prior work with MICS or DHS data at the World Bank, UNICEF, IFPRI, OPHI, a national statistics office, or comparable institution
- Experience with cross-country data harmonization at scale
- Russian, Spanish, Urdu, or other working languages relevant to current country coverage (Kazakhstan, Mexico, Pakistan, Egypt, Laos)
- Replicable analytical workflow practices: version control, code documentation, reproducible reports
Job Benefits
- Stable salary, official employment
- Health insurance
- Hybrid work mode and flexible schedule
- Relocation package offered for candidates from other regions
- Access to professional counseling services including psychological, financial, and legal support
- Discount club membership
- Diverse internal training programs
- All necessary work equipment
