About the Role

The Regional Data Analyst – Africa will transform fragmented country-level operational, marketing and commercial datasets into actionable, timely insights that drive regional decision-making. This role will own regional data consolidation, build and maintain real-time dashboards, measure intervention ROI, forecast risks and opportunities, and partner with country programmes (CPs) and regional teams to ensure data is trusted, accessible and used to improve performance and scale high-impact interventions. The role reports into the Regional Head of Commercial / Regional Head of Marketing (or equivalent) and works closely with country data leads, commercial, marketing, supply chain and monitoring & evaluation teams.

This role is expected to be based within the Africa region to ensure close proximity to country programmes, distributors, and market realities.

To perform this role, you’ll need the following skills:

• Advanced analytical skills with strong experience in data engineering, analytics and visualisation (Power BI / Tableau / Looker / similar)
• Experience building real-time dashboards and automated reporting pipelines
• Strong statistics and causal inference fundamentals (A/B, difference-in-differences, interrupted time series, propensity scoring where required) to measure impact and ROI
• Experience in time-series and forecasting techniques (ARIMA, ETS, or machine-learning approaches as appropriate) and anomaly detection
• Solid SQL and a scripting language (Python or R) for data transformation and modelling
• Strong data governance mindset — ability to define standards and enforce data quality
• Excellent stakeholder communication — translate complex analyses into short, operational recommendations for non-technical audiences
• Ability to build training materials and run hands-on capacity-building sessions

To perform this role, you’ll need the following experience:

• 4–7+ years of data / analytics experience, ideally in a regional role covering multiple countries or markets
• Demonstrable track record of turning fragmented datasets into operational dashboards that drove measurable decisions and outcomes
• Experience supporting sales or commercial teams with data and analytics
• Experience measuring ROI of marketing, sales or programme interventions and presenting findings to senior stakeholders
• Experience working with country teams in low-to-middle income settings and handling irregular or incomplete data flows
• Familiarity with commercial/sales metrics, distribution data and basic public health program indicators is desirable
• Experience with cloud data pipelines, ETL tooling and deployed dashboards in production

Qualifications

Degree in Data Science, Statistics, Economics, Applied Maths, Computer Science, Public Health (epidemiology/biostatistics) or related field, or equivalent practical experience.

• Advanced analytical skills with strong experience in data engineering, analytics and visualisation (Power BI / Tableau / Looker / similar)
• Experience building real-time dashboards and automated reporting pipelines
• Strong statistics and causal inference fundamentals (A/B, difference-in-differences, interrupted time series, propensity scoring where required) to measure impact and ROI
• Experience in time-series and forecasting techniques (ARIMA, ETS, or machine-learning approaches as appropriate) and anomaly detection
• Solid SQL and a scripting language (Python or R) for data transformation and modelling
• Strong data governance mindset — ability to define standards and enforce data quality
• Excellent stakeholder communication — translate complex analyses into short, operational recommendations for non-technical audiences
• Ability to build training materials and run hands-on capacity-building sessions

• Degree in Data Science, Statistics, Economics, Applied Maths, Computer Science, Public Health (epidemiology/biostatistics) or related field, or equivalent practical experience.