Regional Data Analyst

Locations: Zimbabwe, Tanzania, Zambia, Uganda, Ethiopia, Sierra Leone, Nigeria, Ghana, Senegal, Kenya, London, UK

Closing Date: 17 June 2026

Job Description

About MSI

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.

We know that access to reproductive choice is life changing. For some, it can mean the ability to complete an education or start a career. For others, it means being able to look after the family they already have. For everyone, it means the freedom to decide their own future, creating a fairer, more equal world.

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.

We recruit talented, dynamic individuals with diverse backgrounds who share our mission and are focused on delivering measurable results. As an equal opportunity employer, we are committed to fostering an inclusive workplace where everyone can participate and contribute meaningfully. We value open-mindedness, curiosity, resilience, and a solutions-oriented mindset, alongside a commitment to promoting equality and safeguarding the welfare of both team members and clients.

We seek exceptional communicators who are self-motivated, solutions-driven, and aligned with MSI’s mission and entrepreneurial mindset. You should be dedicated to driving social change in an environment focused on sustainable impact, both locally and globally, and comfortable working with diverse teams in an ambiguous setting.

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

Formal education/qualification

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

Please see the job description here.

Location: London, UK (minimum of 2 days per week in the office) or Ethiopia, Ghana, Kenya, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, Zimbabwe.

Full-time: 35 hours a week, Monday to Friday (UK) other countries may vary.

Contract type: 1 – 2 years fixed term contract.

Salary: The salary will be strictly banded within the local national context.

Salary band: BG 9

Closing date: 16^th June. Interviews may take place before this date for exceptional candidates.

For internal employees applying from an MSI country programme, the role will be positioned within the existing salary structure of the country. Local terms and conditions of the country will apply.