Data & Research Analyst at Lafiya (Remote)
At Lafiya, we’re on a mission to make contraception accessible to anyone who needs it and wants it - no matter where they live.
- Through our network of dedicated female health professionals - our Lafiya Sisters - we provide information and deliver contraception directly to communities that need it most.
- Our approach is cost-effective, community-based, and deeply rooted in respect and agency.
- We operate in hard-to-reach communities that otherwise do not have access to contraceptive products and information.
- We currently run our core programme across four states in northern Nigeria, managing 280 Lafiya Sisters.
- In addition to our direct community work, we are building our own supply chain to address widespread supply challenges in Nigeria and are partnering with government stakeholders to realise sustainable financing models for the procurement of contraception.
- To date, we have supported more than 200,000 women through our innovative last-mile approach.
- We’re a fast-growing non-profit in the middle of a transition from start-up to scale-up.
- Our focus is on impact, cost-effectiveness, and ensuring our work enhances the dignity and agency of those we serve.
We are recruiting to fill the position below:
Job Title: Data & Research Analyst
Position Overview
As Lafiya transitions from a startup to a national-scale organisation, we want to rigorously prove our impact.
- We are looking for a technically-driven data analyst to lead the quantitative backbone of our Monitoring, Evaluation & Learning (MEL) department, from the routine analysis of our counselling data to the statistical analysis behind our evaluations.
- You will turn both our day-to-day programme data and our formal research into the defensible evidence needed to influence national policy and secure government adoption.
- Day-to-day, you will own the ongoing quantitative analysis of our routine counselling data that informs internal decisions in near real time.
- Alongside this, you will lead the statistical analysis for our evaluations, designing sampling and analysis strategies and applying rigorous methods like difference-in-differences modelling, so our evidence meets the standards of international donors and academic partners.
- Evaluation implementation (e.g. managing enumerators or field data collection) may occasionally be part of the role, but it is not the focus.
- You’ll work closely with our Strategy & Impact Analyst, who translates evaluation findings and programme data into cost-effectiveness and decision models.
- Your analysis is a key input into that work, and their work will help sharpen what questions your evaluations should answer.
- This is a role for someone who is as comfortable with the routine, sometimes messy work of a live data pipeline as with the deep, abstract work of statistical modelling.
If you want to take ownership of both the numbers behind our day-to-day programme and the evaluations and research that shapes its future, in a fast-moving, agile environment, this is the role for you.
What You’ll Do
- Counselling Data Analysis: own the ongoing quantitative analysis of routine programme counselling data (SurveyCTO, DHIS2, NHLMIS), building and maintaining the indicator calculations that feed our dashboards and reporting.
Education and Experience
Bachelor’s degree in Econometrics, Statistics, Data Science, Public Health, Economics, or a related field is mandatory. A Master’s degree is a plus.
- Experience in designing sampling strategies for evaluations is mandatory.
- Experience writing code for data cleaning and analysis (R, Python, Stata) is mandatory.
- Experience designing and managing quantitative surveys using SurveyCTO or Open Data Kit is preferred.
- Experience analysing routine monitoring or programme data (e.g. from DHIS2, LMIS, or similar MIS platforms), including reconciling data across multiple systems, is preferred
- Past experience managing research teams or enumerators in the field is a plus.
Skills & Competencies
Professional fluency in English is mandatory. Hausa is desired but not required.
Proficiency in advanced statistical analysis, econometrics, and modelling using a statistical package (R, Python, Stata, SPSS, or SAS) is mandatory. We run a cloud RStudio setup, so familiarity with R in particular is a plus.
- Proficiency using spreadsheet software (Excel or Google Sheets) for analysis (e.g. VLOOKUP, pivot tables, data cleaning) is mandatory.
- Working knowledge of SQL for querying and working with data across our systems is a plus.
- Working knowledge of any Business Intelligence tool like Power BI, Tableau, Looker, Metabase, etc. for building analytical dashboards and reports is preferred.
- Comfort working with recurring, messy operational data pipelines, not only clean survey datasets.
Benefits include:
- 40 days of combined holiday and 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.
- Other benefits, such as health insurance and office/co-working space(varies by location)
- Annual team retreat with all expenses paid
What is the recruitment process for this role?
- We value your time and aim to make our recruitment process as insightful as possible.
It includes:
Stage 1: Application Form & Assessment. Share your CV and complete a 20-minute multiple-choice quiz to assess your fit for the role.
Stage 2: Test Task. Engage in a 1-3 hour task that mirrors the kind of work you’ll do with us.
Stage 3: Interview.
This is the final stage, after which we’ll make offers.
- All candidates will be asked the same questions in a 1-hour interview. It will also be an opportunity for you to ask us questions.
Compensation:
- Between $3000-4000/month for US-based candidates; adjusted for cost of living for candidates based elsewhere
Deadline:
- Sun 11 Oct 2026,23:30 West Africa Time
How to Apply
Interested applicant can apply via this link
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