About this role
Job title: Associate Data Analyst
Role Summary
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. Working directly under the Lead Data Analyst, the role holder will contribute to the full data analysis lifecycle — from epidemiological data acquisition and cleaning to predictive modelling, dashboard development, and donor-facing reporting — with a particular emphasis on Sproxil's donor-funded public health initiatives, including malaria surveillance, medicine authentication, and supply chain integrity programmes. The role also extends analytical support across Sproxil's commercial client base in pharmaceuticals, FMCG, cosmetics, and agribusiness.
Key Responsibilities
-
Data Management & Quality Assurance:
-
Collect, clean, validate, and organise 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-contextualised 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 organisational and programme goals.
-
Support ad-hoc data requests and analyses for leadership and external partners as needed.
-
Qualifications & Requirements
Education
- Bachelor's Degree in Epidemiology, Biostatistics, Public Health, Global Health, Statistics, or a related quantitative field.
- A Master's degree is an advantage.
Experience
- 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.
Technical Skills:
- Proficiency in statistical software such as R, Stata, or SPSS, alongside strong Excel skills.
- Familiarity with data visualisation tools (Power BI, Tableau, or similar).
- Experience with data collection platforms such as DHIS2, REDCap, KoBoToolbox, or ODK is an advantage.
- Understanding o