Overview

The Quantitative Research Analyst will provide data analysis and project-related support for the Institute’s projects, focusing on analysing data related to social and emotional learning (SEL) and its impact on global citizenship, sustainable development, and peace.

Tasks Summary

• Conduct relevant background research and develop data-analysis plans for assessment of pilot and large-scale SEL interventions.
• Develop and validate assessment measures for research studies using traditional psychometric methods.
• Analyse data from pilot and large-scale research studies to test the efficacy of SEL interventions.
• Communicate scientific results to high-impact journals and conferences.
• Disseminate research findings to members of the capacity-building team for the design of evidence-based implementation programs.
• Support the research team to contextualise findings in different cultural environments.
• Support any other institute-wide activities as and when they arise.

Experience Requirements

• 1 to 3 year of experience in quantitative analysis, preferably at a research institute of national and/or international standing.
• Strong skills in statistical methods with proficiency in R or Python.
• Experience with core quantitative methods used in education and psychology research, including descriptive statistics, difference testing (t-tests, chi-square, ANOVA), and regression models (linear/logistic), moderation, and mediation analysis is essential.
• Solid background in psychometrics; experience essential, advanced proficiency is desirable.
• Publications in international journals or reports demonstrating expertise in psychometrics and data analysis are highly desirable.
• Ability to prioritise, plan, coordinate, and monitor both individual and team tasks.
• Skilled at managing heavy workloads, tight deadlines, and complex schedules.
• Excellent organizational skills, attention to detail, and well-developed writing and communication abilities.
• Creative, adaptable, and committed to collaboration.
• Ability to communicate research to non-technical audiences using infographics and other visual tools.

Qualification Requirements

Master's degree in Or an advanced degree equivalent to a master’s degree or above in computer science, statistics, mathematics, quantitative psychology, cognitive science or education.

Other Details

Languages Required: English, Level: Fluent, Required

Languages Preferred: Hindi, Level: Fluent, Desirable

Contract Duration: 4 months (with possibility of extension)

Work Modality: Onsite

Remuneration: The applicable Volunteer Living Allowance is provided monthly to cover housing, utilities and normal cost of living expenses. Life, health and permanent disability insurance are included.