Data & Analytics Specialist - College of Engineering

About the role

Carnegie Mellon University Africa (CMU-Africa) is seeking an experienced Data and Analytics Specialist for its College of Engineering in Kigali, Rwanda. The role strengthens the institution's data capabilities and supports evidence-based decision-making across educational, research and sponsored programs by building and maintaining data systems, reporting infrastructure, analytics capabilities and business intelligence tools. It works closely with institutional leadership, program teams, partner institutions and the Monitoring, Evaluation and Learning (MEL) Specialist.

Key responsibilities

• Design, implement and improve data architectures, systems and workflows for collecting, storing, integrating, analysing and reporting institutional and program data
• Maintain data pipelines, databases, reporting processes and analytical environments, and promote data governance, quality and interoperability
• Oversee data validation, cleaning, transformation and quality assurance, and ensure data integrity, security and compliance
• Produce quantitative analyses, data briefs and reports, and respond to ad hoc analytical requests
• Build dashboards, scorecards and visualizations, automate recurring reports and present findings to technical and non-technical audiences
• Apply advanced analytics for forecasting, trend analysis and predictive modelling
• Support partner institutions with data systems, reporting and analytics, including training and coaching
• Work with the MEL Specialist and program teams to align data outputs with monitoring, evaluation and reporting needs

Required profile

• Master's degree in a quantitative field (data science, statistics, computer science, information systems, analytics, mathematics, economics, engineering) or an equivalent combination of education and experience
• At least five years of progressively responsible experience in data analytics, business intelligence, data management or data science
• Demonstrated experience designing and managing complex data systems, reporting infrastructures or business intelligence environments
• Experience with large, multi-source datasets and dashboards and automated reporting
• Experience in higher education, research, international development, nonprofit or social impact settings is an advantage

Required skills

• Advanced proficiency in Power BI, Tableau, Looker Studio or comparable platforms
• SQL and at least one programming language such as Python or R
• Experience with databases, APIs, data integration tools, cloud environments and data automation
• Understanding of data governance, quality, privacy, security and documentation

What we offer

• Medical, prescription, dental and vision insurance, plus a retirement savings program with employer contributions
• Tuition benefits, paid time off and observed holidays, and life and accidental death and disability insurance
• Free regional transit bus pass, family concierge support and fitness centre access