About the Company

Lafiya is a rapidly growing non-profit organization dedicated to making contraception accessible to all, regardless of location. Operating in hard-to-reach communities across four states in northern Nigeria, Lafiya empowers women through a network of dedicated female health professionals, known as Lafiya Sisters. Their innovative, community-based approach ensures access to vital information and contraceptive products, having already supported over 200,000 women.

The organization is currently transitioning from a start-up phase to a national scale, focusing on impact, cost-effectiveness, and enhancing the dignity and agency of the communities they serve. Lafiya is also actively developing its own supply chain to address national shortages and is collaborating with government stakeholders to establish sustainable financing models for contraception procurement. Their work is characterized by a commitment to rigorous evidence generation and a fast-paced, agile operational environment.

Job Description

Lafiya is seeking a highly skilled and technically driven Senior Research & Impact Analyst to join our Monitoring, Evaluation & Learning (MEL) department. This role is crucial as Lafiya scales its operations to become a national organization, requiring rigorous evidence generation to influence policy and secure government adoption.

You will be responsible for the technical architecture of our most complex evaluations, designing robust experiments, managing sophisticated data pipelines, and ensuring our evidence meets the highest international standards for donors and academic publications. This is an ideal position for a "thinker-doer" who enjoys deep analytical work and possesses the entrepreneurial drive to manage research processes from inception to completion.

Key responsibilities include designing rigorous evaluation methodologies, leading end-to-end research execution, performing advanced statistical analysis (including DiD models and longitudinal tracking), contributing to automated data workflows, representing Lafiya with federal stakeholders, and producing publication-ready evidence. You will translate complex findings into clear, defensible insights to shape national health policy and program strategy.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

RPythonSQLSurveyCTOOpen Data KitEconometricsStatistical ModelingCausal InferenceQuantitative Survey DesignData AnalysisResearch DesignProject ManagementData CleaningData VisualizationStakeholder EngagementEnglishHausa

Key Responsibilities

  • Contribute to the learning agenda by designing sampling strategies and protocols for upcoming process evaluations.
  • Lead the execution of internal and external evaluations, including managing enumerators, securing ethical clearance, and overseeing data collection quality.
  • Lead statistical analysis for complex studies, including Difference-in-Difference (DiD) models and longitudinal tracking.
  • Engineer data systems that automatically clean incoming streams and feed into dashboards using R, Python, or SQL.
  • Represent the MEL department in meetings with Federal-level stakeholders and technical partners.
  • Produce analysis of sufficient rigor for academic publication and high-level donor reporting.
  • Translate complex statistical findings into clear, defensible evidence for influencing national health policy and program strategy.

Qualifications

  • Master’s degree in Econometrics, Statistics, Data Science, Public Health, Economics, or a related field.
  • Past experience in managing an evaluation process from design to reporting in a development or research context.
  • Experience writing code for data cleaning and analysis (R, Python, Stata).
  • Experience designing and managing quantitative surveys using SurveyCTO or Open Data Kit.
  • Past experience managing research teams or enumerators in the field.
  • Professional fluency in English and Hausa is mandatory.
  • Proficiency in R for advanced statistical analysis, econometrics, and modelling is mandatory.
  • Proficiency using spreadsheet software (Excel or Google Sheets) for analysis.
  • Experience with SQL for database management and querying.
  • Working knowledge of tools like Power BI, Tableau, or advanced R/Python libraries for building analytical dashboards and reports.

Benefits & Perks

  • 30 days of paid annual leave
  • Fully paid maternity leave
  • Flexibility in where, when and how you work
  • Working closely with a team of senior leaders who are collaborative, ambitious and serious about impact.
  • HMO insurance cover via AXA
  • Travel reimbursements
  • Annual team retreat with all expenses paid

How to Apply

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Posted Date

February 19, 2026

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