Regional Data Analyst

Regional Data Analyst – Africa

Organization: MSI Reproductive Choices

Location: Ethiopia, Ghana, Kenya, Nigeria, Senegal, Sierra Leone, Uganda, United Kingdom, United Republic of Tanzania, Zambia, Zimbabwe

Closing Date: 16 Jun 2026

About MSI Reproductive Choices

MSI Reproductive Choices is one of the world’s leading providers of sexual and reproductive healthcare. We believe that everyone should have the right to choose. From contraception to safe abortion and life-saving post-abortion care, we are committed to delivering compassionate, affordable, high-quality services for all. Today, our organisation has almost 9,000 team members working in 36 countries across the world. Our success lies in the fact that MSI teams are locally led, entrepreneurial and results-driven, and are passionate about delivering high quality, client-centred care in their own communities. As a social business, we focus on sustainable delivery, efficiency, and funding models that are built to last, so that the women and girls we serve today will have a choice in the future too.

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.

About You

For us, it’s vital that every MSI team member believes in and is committed to our organisational mission, vision and values. This means that we will only accept applications from candidates who are unequivocally pro-choice. Our values act as guiding principles, providing us with a clear direction. They set the tone for how we approach our work, interact with others and align ourselves as ‘One MSI’. It’s important that our team members truly resonate with our values and demonstrate them consistently, in all that they do.

Required Skills

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.

Required Experience

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.

Formal Education/Qualification

Degree in Data Science, Statistics, Economics, Applied Maths, Computer Science, Public Health (or equivalent).

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