Job Description
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