Regional Data Analyst – Africa

MSI Reproductive Choices

About MSI Reproductive Choices

MSI Reproductive Choices is one of the world’s leading providers of sexual and reproductive healthcare. The organization is committed to ensuring that everyone has the right to choose by providing access to contraception, safe abortion services, post-abortion care, and other essential reproductive health services.

Operating in 36 countries with nearly 9,000 employees worldwide, MSI delivers high-quality, client-centered healthcare through locally led, innovative, and sustainable service models that empower women and girls to make informed reproductive choices.

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Position Title

Regional Data Analyst – Africa

Contract Type

Fixed-Term Contract (1–2 Years)

Working Hours

Full-time (35 hours per week, Monday to Friday; local arrangements may vary by country)

Salary Band

BG 9 (Salary will be determined according to local country salary structures)

Duty Stations

The position may be based in:

• Tanzania
• Uganda
• Kenya
• Ethiopia
• Ghana
• Nigeria
• Senegal
• Sierra Leone
• Zambia
• Zimbabwe
• London, United Kingdom (minimum 2 days per week in office)

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Role Overview

The Regional Data Analyst – Africa will play a critical role in transforming fragmented operational, commercial, sales, and marketing data from multiple African markets into actionable business insights.

Reporting to the Regional Head of Commercial or Regional Head of Marketing (or equivalent), the role will support strategic decision-making by:

• Consolidating regional datasets
• Building and maintaining real-time dashboards
• Measuring intervention impact and return on investment (ROI)
• Forecasting risks and opportunities
• Improving data quality and accessibility
• Supporting country programmes (CPs) and regional teams with analytical insights

The position works closely with:

• Country data teams
• Commercial teams
• Marketing teams
• Supply chain teams
• Monitoring and Evaluation (M&E) teams

to improve performance and scale successful interventions across Africa.

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Key Responsibilities

Data Consolidation & Management

• Consolidate data from multiple country programmes and operational systems.
• Transform fragmented datasets into reliable and usable information.
• Establish and maintain regional data standards.
• Improve data consistency and accessibility across markets.

Dashboard Development & Reporting

• Build and maintain real-time dashboards for:
  • Commercial performance
  • Marketing effectiveness
  • Operational performance
  • Program outcomes
• Develop automated reporting systems and reporting pipelines.
• Ensure stakeholders have access to timely and accurate performance data.

Analytics & Insights

• Analyze commercial, marketing, and operational data to identify trends and opportunities.
• Generate actionable recommendations to support decision-making.
• Translate complex analyses into concise business insights.

ROI Measurement & Impact Evaluation

• Measure the effectiveness of:
  • Marketing campaigns
  • Sales initiatives
  • Program interventions
• Conduct impact evaluations using advanced analytical techniques.
• Present findings to senior leadership and country teams.

Forecasting & Predictive Analytics

• Develop forecasting models for:
  • Sales performance
  • Market opportunities
  • Business risks
  • Operational planning
• Monitor anomalies and emerging trends.

Data Governance & Quality Assurance

• Establish and maintain data quality standards.
• Monitor data accuracy and completeness.
• Develop validation procedures and quality control mechanisms.
• Promote best practices in data governance across country programmes.

Capacity Building

• Develop training materials and analytical guidance tools.
• Conduct workshops and coaching sessions for country teams.
• Strengthen analytical capabilities across the region.

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Required Skills

Applicants should demonstrate:

Data Analytics & Visualization

• Advanced analytics skills
• Expertise in data visualization platforms such as:
  • Power BI
  • Tableau
  • Looker
  • Similar business intelligence tools

Data Engineering & Reporting

• Experience building:
  • Real-time dashboards
  • Automated reporting systems
  • Data pipelines
• Strong understanding of ETL (Extract, Transform, Load) processes.

Statistical Analysis

Knowledge of:

• A/B Testing
• Difference-in-Differences Analysis
• Interrupted Time Series Analysis
• Propensity Score Methods
• Impact Evaluation Methodologies

Forecasting & Predictive Modeling

Experience with:

• Time-Series Forecasting
• ARIMA Models
• Exponential Smoothing (ETS)
• Machine Learning Forecasting Techniques
• Anomaly Detection

Technical Skills

• Advanced SQL
• Python or R programming
• Data transformation and modeling

Communication Skills

• Ability to communicate complex technical findings to non-technical audiences.
• Strong presentation and stakeholder engagement skills.
• Ability to produce concise and actionable recommendations.

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Required Experience

Candidates should possess:

• 4–7+ years of professional experience in data analytics, business intelligence, or data science.
• Experience supporting regional or multi-country operations.
• Proven ability to transform fragmented datasets into actionable dashboards and insights.
• Experience supporting:
  • Commercial teams
  • Sales teams
  • Marketing teams
• Experience measuring ROI and business performance.
• Experience presenting analytical findings to senior stakeholders.
• Experience working with country teams in low- and middle-income settings.
• Experience managing incomplete or irregular data flows.
• Experience deploying dashboards and analytics solutions in production environments.
• Experience with cloud-based data platforms and ETL tools.

Desirable Experience

• Commercial and sales analytics
• Distribution and channel performance analysis
• Public health data and program indicators
• Marketing effectiveness measurement

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Education Requirements

A degree in one of the following fields is desirable:

• Data Science
• Statistics
• Economics
• Applied Mathematics
• Computer Science
• Public Health (Epidemiology/Biostatistics)
• Related disciplines

Equivalent professional experience may also be considered.

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Ideal Candidate Profile

MSI is seeking a professional who is:

• Highly analytical and detail-oriented
• Results-driven and solutions-focused
• Comfortable working with large and complex datasets
• Skilled at translating data into business value
• Collaborative and capable of working across multiple countries
• Adaptable to diverse and evolving environments
• Passionate about using data to improve health and social outcomes

Important: Applicants must be fully aligned with MSI Reproductive Choices’ mission and values and must be unequivocally pro-choice.

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Application Details

Application Deadline

16 June 2026

Exceptional candidates may be invited for interviews before the closing date.

Employment Conditions

• Internal MSI employees will be placed within their existing country salary structures.
• Local employment terms and conditions will apply.
• Salary will be aligned with the local market context.

Eligible Countries

Applications are welcome from candidates based in:

• Tanzania
• Uganda
• Kenya
• Ethiopia
• Ghana
• Nigeria
• Senegal
• Sierra Leone
• Zambia
• Zimbabwe
• United Kingdom

MSI Reproductive Choices is an equal opportunity employer committed to diversity, inclusion, safeguarding, and professional excellence.

How to Apply:

To submit your application, please follow the link provided below.

CLICK HERE TO APPLY