Regional Data Analyst
MSI Reproductive Choices
Ethiopia
Role description
About MSI
About the Role
About You
This means that we will only accept applications from candidates who are unequivocally pro-choice.
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
- 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
- Degree in Data Science, Statistics, Economics, Applied Maths, Computer Science, Public Health (epidemiology/biostatistics) or related field, or equivalent practical experience.