Senior Data Analyst

At Raising The Village (RTV), we are dedicated to eradicating ultra-poverty in Sub-Saharan Africa. As a dynamic, rapidly growing international development organization, we’ve assembled a team of over 350+ passionate individuals in Uganda, Rwanda and DRC, alongside an additional 10+ professionals in North America. Together, we are committed to elevating communities out of ultra-poverty by implementing innovative solutions and leveraging advanced data analytics to drive impact.

To date, our holistic approach has positively impacted over 1,000,000 lives since 2012, and we’re poised to achieve even greater milestones, aiming to assist 1 million individuals annually by 2027. Our growth and success are fuelled by the invaluable support of global partners who share our vision of sustainable change. Learn more about our impactful programs at www.raisingthevillage.org

Role Summary

The Senior Data Analyst will lead program evaluation, advanced analytics, and data quality initiatives across Raising The Village’s programs. The role serves as the key link between Monitoring, Evaluation, Analytics, Predictive Insights, and Data Collection functions, ensuring that high-quality and reliable data informs organizational decision-making and program impact measurement.

Based in Kigali, Rwanda, the position will provide technical leadership for evaluation methodologies and data management practices while supporting data operations across Rwanda and other countries of operation. The Senior Officer will lead the MEL team in Rwanda, strengthen organizational data systems, and ensure adherence to data quality, governance, and reporting standards.

Key Responsibilities

Program Evaluation & Analytics (50%)

• Lead the design and implementation of analytical approaches that support program performance measurement and organizational learning.
• Provide technical guidance on monitoring, evaluation, and data analysis to ensure high-quality evidence generation.
• Translate complex data into actionable insights to inform strategic and operational decision-making.
• Support the development and continuous improvement of organizational performance measurement frameworks.
• Promote the use of data and evidence to drive innovation and program effectiveness.

Data Management, Collection & Integrity (20%)

• Oversee data collection, validation, aggregation, storage, and reporting processes across country programs.
• Establish and maintain robust data quality assurance and integrity procedures.
• Lead the review and improvement of data collection instruments and workflows before deployment.
• Conduct routine data audits and implement corrective actions to improve data quality and compliance.
• Provide oversight of data management processes to ensure data quality, integrity, consistency, and security.
• Strengthen organizational data governance practices, standards, and quality assurance mechanisms.
• Ensure compliance with organizational and donor data management requirements.

Leadership & Collaboration (20%)

• Provide technical leadership, coaching, and mentorship to MEL staff.
• Foster collaboration across Monitoring, Evaluation, Programs, Technology, and other functional teams.
• Contribute to the development and implementation of organizational data strategies and priorities.
• Build analytical capacity across country teams to strengthen evidence-based programming.

Reporting & Stakeholder Engagement (10%)

• Prepare high-quality analytical reports, presentations, dashboards, and evaluation summaries to support the continuous improvement of the government led model
• Present findings and insights to senior management, donors, and external stakeholders for decision making
• Support organizational learning through effective communication of program outcomes and evidence.
• Respond to technical data and evaluation inquiries in a timely and professional manner.
• Strengthen reporting systems that monitor data quality, performance trends, and program impact.

Qualifications & Experience

Education

• Bachelor’s degree in Statistics, Economics, Quantitative Economics, Computer Science, Mathematics, Population Studies, Monitoring & Evaluation, Data Science, Social Sciences, or related quantitative fields.
• Master’s degree or Postgraduate qualification in Monitoring & Evaluation, Statistics, Data Science, Economics or related field is an added advantage.

Experience

• Minimum of 5 years of progressive experience in data analytics, program evaluation, monitoring and evaluation, or data management.
• Demonstrated experience leading evaluation studies and managing data quality systems.
• Experience working with development organizations, NGOs, or large-scale impact programs.
• Experience managing multi-country data initiatives is an added advantage.
• Experience working in East Africa and rural community development programs is preferred.

Technical Skills

• Advanced proficiency in Python, R, STATA, Alteryx, Epi Info, Tableau, Power BI, SQL and Advanced Microsoft Excel.
• Experience with digital data collection platforms including SurveyCTO, Survey123, KoboToolbox, CommCare, or similar systems.
• Strong understanding of database management, ETL processes, and data governance principles.
• Strong knowledge of impact evaluation methodologies, statistical analysis, and research design.
• Experience developing dashboards, data visualization products, and automated reporting systems.

Core Competencies

• Strong analytical and problem-solving skills.
• Excellent leadership and management abilities.
• Strong project management and organizational skills.
• Effective communication and stakeholder engagement capabilities.
• High attention to detail and commitment to data quality.
• Ability to manage competing priorities and deadlines.
• Results-oriented with a strong commitment to continuous improvement.

Language Requirements

• Fluency in English is required.
• Working proficiency in French is highly desirable.

We encourage women, people with disabilities and minority groups to apply for this position. RTV is committed to equal opportunities and diversity of perspective at the workplace.

Disclaimer: Raising the Village DOES NOT charge any kind of FEE(s) at whichever stage of the recruitment process.