Associate Data Analyst at Sproxil

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• • Associate Data Analyst at Sproxil
  • View Jobs in ICT / Telecommunication / View Jobs at Sproxil

  Posted: Jun 25, 2026

  Deadline: Not specified

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  Sproxil uses mobile technology to combat counterfeiting and increase brand equity with innovative, consumer-focused product protection and targeted marketing solutions. Its award-winning Sproxil Defenderâ„¢ technology drives revenue and engages consumers at point of sale through brand assurance, fraud protection, and loyalty rewards. Sproxil...
  

  Associate Data Analyst

  • Job Type Full Time
  • Qualification BA/BSc/HND , MBA/MSc/MA
  • Experience 1 - 3 years
  • Location Lagos
  • City Ikeja
  • Job Field Data, Business Analysis and AI&nbsp

  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.

  Requirements

  • Bachelor's Degree in Epidemiology, Biostatistics, Public Health, Global Health, Statistics, or a related quantitative field. A 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.

  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 of M&E frameworks, logical frameworks (logframes), and standard health/programme indicators.

  Core Competencies & Soft Skills:

  • Strong analytical thinking and attention to detail when working with health and programme data.
  • Ability to communicate technical findings clearly to non-technical stakeholders.
  • High level of integrity and discretion in handling sensitive health data.
  • Self-motivated, organised, and comfortable managing multiple data requests and deadlines.

  Benefits

  • Competitive compensation aligned with experience and qualifications.
  • The opportunity to apply public health and statistical expertise within a fast-growing AI-native organisation.
  • Flexible hybrid work arrangement.
  • Exposure to cross-functional work spanning technology, product, and grants-funded health programmes.
  • A mission-driven team committed to expanding access to quality healthcare through data and technology.

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  Method of Application

  Interested and qualified? Go to Sproxil on sproxil.zohorecruit.com to apply

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