Policy and RFE Coordinator at Innovations for Poverty Action (IPA)

Responsibilities: 

• Support mapping of the data needs of specific departments within the regulator against the existing data available, complemented with an assessment of its quality 
• Support the analysis and visualization of both primary and secondary data using statistical software such as Stata or R. 
• Support the development, design, implementation, and supervision of pilot projects aimed at generating evidence for policy implementation. 
• Work closely with the Project manager, Sector and RFE teams to conduct capacity building “learning-by doing” workshops in data analysis, visualization, and monitoring, evaluation, and learning. 
• Contribute to the development and delivery of high-quality policy and research outputs such as policy reports, briefs, concept, and notes. 
• Support the project manager to prepare and deliver presentations, briefings and other content to CBN. 
• Support a variety of strategic MEL activities, including crafting of theories of change and MEL frameworks for programs, designing indicators and data collection tools, and facilitating the dissemination of findings. 
• Contribute to dissemination of results from the various lab activities. 
• Support the design and delivery or other potential policy and RFE engagements. 
• Manage and coordinate administrative and logistical requirements for the lab. Other Duties 
• Perform other duties as assigned.

Qualifications: 

• Bachelor’s degree in economics, public policy, social science, statistics, or a related field 2-5 years of relevant work experience, including experience in research implementation/ data analytics/ M&E (public sector) or organizational performance/R&D/operational research (private sector)   
• Experience in analyzing large data sets using R, Python, Stata. 
• Experience in both qualitative and quantitative data collection. 
• Superior analytical and conceptual thinking skills 
• Familiarity with statistical methods, data analysis, and visualization 
• Demonstrated ability to coach and train others in MEL methodologies or data analysis. 
• Ability to present information in a structured and insightful way, both in writing and orally 
• Self-starter, entrepreneurial mindset, versatility and willingness to learn. 
• Passion for making data-driven decision making a reality in the development sector.

Preferred Qualifications: 

• Master’s degree in economics, public policy, social science, or a related field 
• Experience in management consulting or other professional services 
• Experience with programs relating to financial inclusion and/or consumer protection 
• Experience working in developing countries 
• Familiarity with the concepts surrounding the Theory of Change and the core tools of MEL (both quantitative and qualitative research methods) 
• Familiarity with SurveyCTO, Open Data Kit, Kobo or similar survey software