The Progress out of Poverty Index® (PPI)®
IPA manages the Progress out of Poverty Index (PPI), which is a country-specific household-level poverty measurement tool. The PPI is statistically-sound, yet simple to use: the answers to 10 questions about a household’s characteristics and asset ownership are scored to compute the likelihood that the household’s consumption is below the poverty line. With the PPI, organizations can identify the clients, customers, or employees who are most likely to be poor or vulnerable to poverty, integrating objective poverty data into their assessments and strategic decision-making. There are PPIs for 60 different countries.
The PPI Data Analyst
IPA seeks a Data Analyst with strong computational skills who will develop and improve statistical tools that have a global impact. This position will give the opportunity to an early career savvy analyst to expand his/her quantitative and computational skills, with a focus on statistical learning and prediction, while gaining experience developing tools that help more than 500 organizations reach the poorest people in the world. We are looking for someone with the ambition and maturity to thrive as part of a small, non-hierarchical team with a big vision and a big mandate.
The PPI Data Analyst will be a central part of the PPI initiative at IPA. S/he will work closely with the PPI Research Lead to develop new and updated PPI scorecards for various countries, provide technical assistance to partner organizations, and work on the continued improvement and development of the PPI. This will include refining a machine/statistical learning model for PPI scorecards using nationally representative household surveys, and writing background briefs for the PPI in each country. In addition, we expect the Data Analyst will support research projects that seek to use the PPI and that s/he will contribute to the development of resources for the IPA Global Research and Data Support team.
- Be an active part in defining and growing a new initiative at IPA
- Analyze national level data sets from numerous countries
- Work with the PPI Research Lead on predictive modeling to create easily to use poverty assessment tools for various countries
- Work with the PPI Director and PPI Research Lead to expand the PPI’s business model and services
- Manage the logistics of field testing of new PPIs, including liaising with IPA field teams and partner organizations
- Support with data acquisition in multiple countries
- Ensure adherence to data quality, documentation and security protocols
- Draft reports and technical notes on the development and use of the PPI for specific countries
- Represent IPA to external partners and PPI members and donors. This includes providing direct support and training to PPI users
- Perform related duties as assigned by supervisor and maintain compliance with all company policies and procedures
- Bachelors’ degree in statistics, biostatistics, economics, social sciences, computer science, or related fields
- Strong understanding of basic statistics
- Working knowledge of R, Python or Julia
- Strong interest in developing expertise in machine/statistical learning and applying these methods to problems that are central to public policy and impact investing
- Curiosity, independent and creative thinker, ability to learn on the job
- Fluency in English with strong written ability
- Knowledge of Stata
- Prior work in developing countries, especially conducting field research is a plus
- Knowledge of introductory/intermediate economics
- Excellent management and organizational skills, along with process oriented analytic thinker
- Knowledge of electronic survey software is a plus
- Spanish or French language fluency is a strong plus
- Flexible, self-motivating, able to manage multiple tasks efficiently, a team player and a history of getting things done
- Ability and willingness to travel to various project sites
- Ability to safely and successfully perform the essential job functions consistent with government standards, including meeting qualitative and/or quantitative productivity standards
- Ability to maintain regular, punctual attendance consistent with IPA standards
- Must be able to talk, listen and speak clearly on telephone
To apply, click here.
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