Data & Research Analyst

Lafiya Nigeria—a high-impact non-profit organization providing community-based family planning and contraceptive access across northern Nigeria (managing over 280 "Lafiya Sisters" and reaching 200,000+ women)—is recruiting a Data & Research Analyst for a full-time, remote position.

This quantitative Monitoring, Evaluation & Learning (MEL) role serves as the statistical backbone for Lafiya’s scale-up. The position is responsible for analyzing routine counselling data (SurveyCTO, DHIS2, NHLMIS), writing statistical code in R for advanced impact modeling (Difference-in-Differences), designing evaluation sampling strategies, and producing defensible research for international donors (such as the Gates Foundation and GiveWell) and Federal healthcare stakeholders.

• Routine Data Analysis & Reconciliation: Build and maintain quantitative indicator pipelines tracking day-to-day counselling data across SurveyCTO, DHIS2, and NHLMIS; reconcile multi-system data discrepancies and feed internal dashboards.

• Evaluation Design & Causal Modeling: Design sampling frames and execute advanced econometric evaluations—including Difference-in-Differences (DiD) models and client continuation rate cohort tracking using R scripts.

• Donor & Policy Evidence: Produce publication-ready statistical evidence for high-level donors (Gates Foundation, GiveWell) and present technical findings to Federal-level health authorities.

• Field Evaluation Support: Provide technical oversight for field data quality, including periodic enumerator training and survey protocol validation.

• Academic Credentials: Bachelor’s Degree in Econometrics, Statistics, Data Science, Public Health, Economics, or a related field (Mandatory). Master’s Degree is an advantage.

• Mandatory Technical Skills:

  • Proven experience writing code for data cleaning/analysis in R, Python, or Stata (RStudio cloud setup preferred).

  • Demonstrated experience designing sampling strategies for evaluation studies.

  • English fluency (written and verbal).

• Preferred Experience: SurveyCTO/ODK survey design, DHIS2/LMIS routine data analysis, SQL database querying, Power BI/Looker dashboarding, and field enumerator management.
  
  Selection Workflow: Application Form & Quiz (Stage 1) ➔ 1–3 Hour Test Task (Stage 2) ➔ Final Interview (Stage 3).