Quantitative Analyst, Millennium Challenge Corporation (MCC), Independent Evaluation Services, Benin II Energy Compact, Benin
Social Impact (SI) is a Washington, DC-area international development management consulting firm. SI’s mission is to improve the effectiveness of international development programs in improving people’s lives. We provide a full range of management consulting, technical assistance, and training services to strengthen international development programs, organizations, and policies. We provide services globally in the areas of monitoring and evaluation, strategic planning, project and program design, organizational capacity building, and gender and social analysis. SI services cross-cut all development sectors including democracy and governance, health and education, the environment, and economic growth. SI’s clients include US government agencies such as USAID, the Millennium Challenge Corporation, the US Department of State, bilateral donors, multilateral development banks, foundations, and non-profits.
Proposal Objective
SI is planning to bid on an evaluation of the MCC Benin II Energy Compact. The objective of the Compact is to expand business production and productivity, generate greater economic opportunities for households and improve the capacity to provide public and social services by improving the supply of electricity in Benin. The evaluation will be assessing the outcomes and It is expected that the design will entail metering of the electricity network, a panel survey of households, a panel survey of enterprises, analysis of secondary data, and complementary qualitative research. impact of the electricity generation and distribution infrastructure projects. The period of performance for this evaluation is one year, plus eight option years.
Position Description:
SI is seeking a Quantitative Analyst for the Benin II Infrastructure Evaluation. The Analyst will contribute to the evaluation design, participate in instrument design, participate in data collection oversight, and lead quantitative data analysis and report writing.
Responsibilities:
- Review Compact related documentation and contribute to an evaluability assessment of the Compact’s infrastructure investments in Benin (Year 1).
- Participate in the design of the evaluation and play a leadership role in the quantitative aspects of the evaluation design, including the metering, enterprise survey, household survey, and secondary data (Year 1).
- Participate in and play a leadership role in (a) the development of quantitative research tools and protocols, (b) oversight of quantitative data collection, (c) quantitative data
- analysis, and (d) quantitative report writing for baseline, interim, and final data collection (Future years).
Qualifications:
- Master’s or higher in the social sciences, international development or international affairs, business, public policy, or a related field.
- Minimum of five years of experience in research and evaluation.
- Demonstrated experience designing evaluation tools, providing oversight of data collection activities, and conducting quantitative data analysis.
- Knowledge and experience of quantitative data analysis techniques, including matching, sampling, multivariate regressions, analysis of time series and panel data, difference in difference, multi-level modeling, instrumental variables, and other statistical techniques
- Knowledge of Open Data Kit and Stata preferred.
- Technical expertise in energy or infrastructure sectors is preferred.
- Experience evaluating USAID or MCC projects.
- Fluency in spoken and written French is preferred.
Come join our energetic and innovative team! We offer you the opportunity to play a leading role in the growth of our company, work as part of a creative and committed team, and make a difference in the well-being of our world. To learn more about Social Impact, please visit our website: http://www.socialimpact.com
SI is an EEO/AA/ADA Veterans Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.
Only selected candidates will be contacted for an interview. Please, no phone calls.
