Research Analytics Manager

Job Description

Role Overview We are seeking a Research Analytics Manager with a strong technical background and a passion for social impact The candidate will have experience and ability to work with large-scale, nationally representative household surveys and datasets They must demonstrate experience in acquiring, structuring, analyzing, and cleaning data. This project is part of a broader effort to create informed, data-driven ways to estimate the real cost of ending extreme poverty Using household survey data across multiple countries, the effort will provide detailed and actionable cost estimates to support governments and NGOs in planning poverty reduction programs Ultimately, the work aims to impact global efforts to eliminate poverty by equipping decision-makers with more precise tools and insights. The Research Analytics Manager Will Have The Following Responsibilities Immediate engagement: This project requires supervision of the analysis, processing, and cleaning of around 20 large country household sample survey datasets. Supervisory role requires Deep experience and familiarity with large-scale, nationally representative household surveys such as LSMS or DHS, or comparable Indian datasets such as NSSO, NFHS, or the Periodic Labour Force Survey (PLFS) Experience and interest in development economics, preferably in poverty mapping and analysis of the costs of ending extreme poverty. Responsibilities Determine relevant modules and variables from large-scale household surveys, to compile datasets for the purpose of informing economic models of the cost of ending extreme poverty. Oversee and guide data analysts in cleaning, organizing, and preparing large-scale, nationally representative household survey datasets for analysis, providing technical support and troubleshooting as needed. Ensure clear documentation, data quality and consistency across multiple modules and potentially multiple surveys This includes preparing clear Metadata tables, and documentation on the inclusion or exclusion of modules and variables. Lead and oversee the data cleaning process to ensure high-quality, error-free datasets, including handling missing values (NaNs), identifying and resolving anomalies, and maintaining consistency across variables. Coordinate with research leads and external collaborators to align data preparation with the analytical goals of the poverty mapping study. Utilize Python, R, or STATA for statistical modelling, econometric analysis, and predictive analytics. Additional Responsibilities May Include Provide technical guidance and/or quality control on potential project proposals. Act as technical lead/writer or subject matter expert for proposals. Identify and meet with economics experts, academics, and/or other research organizations on potential new research analytics opportunities. Required Qualifications And Skills Masters degree in economics, statistics, international development, public policy, social development or other related field required. At least 5 years of experience with quantitative data analysis, program evaluation, policy analysis, proposal and report writing. Passionate about using data for social impact, with experience working in international development, public health, environmental sustainability, or related fields being a plus. Experience of working with demographic data sets like DHS, NSSO, World Bank Data etc. Desirable: Experience and technical knowledge of poverty estimation in LMIC Understanding of data ethics and responsible data use in diverse contexts. Must have excellent verbal and writing skills. Must have strong Microsoft Word and Excel experience. Ability to work collaboratively in a team environment, with staff from all education and experience levels, as well as across various geographic locations. Additional Requirements The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described. This position may require successful completion of a reference check and employment verification. Athena Infonomics is an Equal Opportunities Employer Athena Infonomics is an equal opportunity employer with a commitment to diversity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.