The Associate Data Analyst will support Sproxil's Analytics & Data Intelligence team in modelling and interpreting complex public health and product integrity datasets to generate evidence that drives programme decisions.

• Job Location: Ikeja, Lagos
• Employment Type: Full-Time
• Salary: Not stated (competitive compensation aligned with experience)

Sproxil Nigeria Limited is a technology company driving innovation across product authentication, health-tech, and AI-powered solutions across Africa. The company is deepening its shift toward becoming an AI-native organization, with data quality, statistical rigour, and evidence-based programme insight central to measuring and improving impact.

Data Management & Quality Assurance

• Collect, clean, validate, and organize public health survey and programme data from multiple sources, ensuring accuracy and consistency.
• Maintain structured datasets and documentation in line with industry standards.

Statistical & Epidemiological Analysis

• Conduct descriptive and inferential statistical analysis on health outcomes, user engagement, and programme indicators.
• Apply epidemiological methods to identify trends, patterns, and risk factors within Sproxil's user and health data.
• Support development and tracking of key performance indicators against established benchmarks.

Programme Monitoring & Evaluation

• Support monitoring and evaluation (M&E) frameworks for Sproxil and related grant-funded health programmes.
• Contribute to donor and stakeholder reporting by providing accurate, well-contextualized data summaries.
• Assist in designing data collection tools and indicators for new programme initiatives.

Reporting & Visualization

• Build dashboards, charts, and reports that translate complex data into actionable insights for leadership.
• Prepare periodic analytical reports highlighting trends, anomalies, and recommendations.

Cross-Functional Collaboration

• Work closely with the Product, Technology, and Grants teams to align data analysis with organizational and programme goals.
• Support ad-hoc data requests and analyses for leadership and external partners as needed.

• Bachelor's degree in Epidemiology, Biostatistics, Public Health, Global Health, Statistics, or a related quantitative field (Master's degree is an advantage).
• 1–3 years of experience in data analysis, epidemiology, biostatistics, monitoring & evaluation, or global health programme evaluation.
• Prior exposure to donor-funded, public health, or research programmes is strongly preferred.
• Experience working with health data systems or large datasets in a research, NGO, or public health setting.
• Proficiency in statistical software such as R, Stata, or SPSS, alongside strong Excel skills.
• Familiarity with data visualization tools (Power BI, Tableau, or similar).
• Experience with data collection platforms such as DHIS2, REDCap, KoBoToolbox, or ODK is an advantage.
• Understanding of M&E frameworks, logical frameworks (logframes), and standard health/programme indicators.
• Strong analytical thinking, attention to detail, and ability to communicate technical findings clearly to non-technical stakeholders.
• High level of integrity and discretion in handling sensitive health data.
• Self-motivated, organized, and comfortable managing multiple data requests and deadlines.

How to Apply:
Interested candidates should Apply here.

Why this job might be a good fit:
This role is suitable for early-career data analysts with a background in public health or epidemiology who want to apply their statistical expertise within a fast-growing, AI-native technology company. It offers hybrid work, cross-functional exposure, and the opportunity to contribute to donor-funded health programmes across Africa.

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