Job Detail

Research Analytics Manager

 Chennai, Tamil Nadu     1-5 Yrs    ₹1.5 - ₹06 Yearly

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.