Associate Data Analyst

Job Description

Associate Data Analyst

Company: Sproxil Nigeria Limited
Location: Ikeja, Lagos

Role Summary

Sproxil Nigeria Limited is seeking an Associate Data Analyst to support its Analytics & Data Intelligence team in analysing and interpreting complex public health and product integrity data.

The successful candidate will contribute to the full data analysis lifecycle, including data collection, cleaning, analysis, predictive modelling, dashboard development, and reporting. The role will support donor-funded public health initiatives, including malaria surveillance, medicine authentication, and supply chain integrity programmes, while also providing analytical support to commercial clients across 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.
• Ensure data accuracy, consistency, and proper documentation.
• Maintain structured datasets 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.
• Support the development and tracking of key performance indicators against established benchmarks.

Programme Monitoring & Evaluation

• Support monitoring and evaluation frameworks for Sproxil and related grant-funded health programmes.
• Contribute to donor and stakeholder reporting through accurate and well-contextualised data summaries.
• Assist in designing data collection tools and indicators for new programme initiatives.

Reporting & Data Visualisation

• Build dashboards, charts, and reports that translate complex data into actionable insights.
• 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.

Qualifications and Requirements

Education

• Bachelor’s Degree in Epidemiology, Biostatistics, Public Health, Global Health, Statistics, or a related quantitative field.
• A Master’s Degree is an added advantage.

Experience

• 1–3 years of experience in data analysis, epidemiology, biostatistics, monitoring and 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 is an advantage.

Technical Skills

• Proficiency in R, Stata, or SPSS, with strong Excel skills.
• Familiarity with data visualisation tools such as Power BI, Tableau, or similar platforms.
• Experience with DHIS2, REDCap, KoBoToolbox, or ODK is an advantage.
• Understanding of M&E frameworks, logical frameworks, and standard health/programme indicators.

Core Competencies

• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Ability to communicate technical findings clearly to non-technical stakeholders.
• High level of integrity and discretion when handling sensitive data.
• Ability to manage multiple tasks and deadlines effectively.