Quantitative Research Analyst

Serve as the Data Analyst Officer, providing data analysis and project-related support.

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UNESCO - United Nations Educational, Scientific and Cultural Organization

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Application deadline 3 months ago: Tuesday 17 Feb 2026 at 00:00 UTC

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Overview

Serve as the Data Analyst Officer, providing data analysis and project-related support.

You have:

  • 1 to 3 years 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 are essential.
  • Experience with core quantitative methods used in education and psychology research, including descriptive statistics, difference testing (t-tests, chi-square, ANOVA), and regression models.
  • 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.
  • Ability to communicate research to non-technical audiences using infographics and other visual tools.

Contract

This is a UNV contract. More about UNV contracts.

Under the overall guidance of the Director of the Institute and direct supervision of the Associate National Project Officer (Research), the incumbent will serve as the Data Analyst Officer, providing data analysis and project-related support for the Institute’s projects as defined by the NPO-Research.

The incumbent will be responsible for analysing data on how social and emotional learning (SEL) can cultivate and promote global citizenship, sustainable development, and peace through the use of advanced statistical methods, data mining & visualisation techniques. In addition to advanced analytical skills, this candidate must also be proficient at establishing the validity and reliability of assessment tools and scales using both traditional and newer approaches in psychometrics. They should also have experience in integrating and preparing large datasets, architecting specialised databases, constructing mathematical models for policy research, conducting complex regression analyses, working in high-performance computing environments, and communicating scientific results efficiently.

The candidate will be required to work in trans-disciplinary teams, which include neuroscientists, psychologists, researchers, educators, game developers, mobile app developers, project/program managers, and other IT personnel, to turn data into critical information that can be useful for the Institute. The candidate must be a creative thinker and find innovative solutions to problems through the information available. The candidate will need to validate their findings and present them back to the relevant stakeholders.

Within the delegated authority and under the supervision of National Project Officer (Research), the Data Analyst Officer will:

Impact Evaluation • 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.

Scientific Communication • 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.

☒ Accountability ☒ Adaptability and Flexibility ☒ Creativity ☒ Judgement and decision-making ☒ Planning and Organizing ☒ Professionalism ☒ Self-Management

• 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 (links to GitHub repositories welcome) are essential. We don’t particularly need to know about the applicant’s Tableau or SQL skills. • 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 (Google Scholar or publication links may be shared) 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.

New Delhi, as a duty station, presents a dynamic and diverse environment. The living conditions in this vibrant metropolis offer a mix of cultural richness, historical significance, and modern amenities. The city provides various housing options, catering to different preferences and needs. New Delhi's cosmopolitan atmosphere allows for easy integration into its multicultural society. While the city boasts a range of international schools, medical facilities, and recreational opportunities, it is essential to be mindful of factors such as air quality and traffic congestion. Flexibility is crucial, along with the ability and willingness to navigate challenging conditions, potentially involving physical hardships and limited comfort. Additionally, due diligence is essential, especially when it comes to being cautious with street food and water.

As this is a national UN Volunteer assignment, the UN Volunteer will be responsible for arranging his/her own housing and other living essentials. This position is based in New Delhi. National UN Volunteers are part of the malicious insurance plan. National UN Volunteers are expected to be culturally sensitive and adjust to the prevailing culture and traditions.

The contract lasts for the period indicated above with possibility of extensions subject to availability of funding, operational necessity and satisfactory performance. However, there is no expectation of renewal of the assignment.

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.

You can check full entitlements at https://app.unv.org/calculator .

Potential interview questions

Describe a complex dataset you worked with and the statistical methods you used to analyze it. This question assesses the candidate's practical experience with data analysis. Provide a detailed overview of the dataset, the methods and tools used, and the outcomes.
How do you ensure the validity and reliability of your assessment tools in research? This question evaluates your understanding of psychometrics and research standards. Pro members can see the explanation.
Can you give an example of how you communicated complex statistical results to a non-technical audience? Pro members can see the explanation. Pro members can see the explanation.
What steps do you take to prioritize tasks when managing multiple project deadlines? Pro members can see the explanation. Pro members can see the explanation.
Discuss a situation where you had to collaborate with a diverse team. What challenges did you face? Pro members can see the explanation. Pro members can see the explanation.
What is your approach to adapting research findings to different cultural contexts? Pro members can see the explanation. Pro members can see the explanation.
Share an experience where you had to conduct regression analysis and interpret the results. What did you learn? Pro members can see the explanation. Pro members can see the explanation.
How do you stay updated with new statistical methods and technologies in data analysis? Pro members can see the explanation. Pro members can see the explanation.
Added 3 months ago - Updated 3 months ago - Source: unv.org