Quantitative Research Analyst
Provide data analysis and project support for SEL-focused initiatives.
Overview
Provide data analysis and project support for SEL-focused initiatives.
You have:
- Minimum 3 years’ experience in data generation, large-scale educational interventions, monitoring, evaluation, and quantitative analysis.
- Strong skills in statistical methods with proficiency in R or Python (links to GitHub repositories welcome).
- Solid background in psychometrics; experience essential, advanced proficiency desirable.
- Publications in international journals or reports demonstrating expertise in psychometrics and data analysis (Google Scholar or publication links may be shared).
- Fluency in spoken and written English (mandatory).
- Ability to prioritize, plan, coordinate, and monitor both individual and team tasks.
- Excellent organisational skills, attention to detail, and well-developed writing and communication abilities.
- Experience presenting at high-profile international conferences.
Contract
This is a UNV National Specialist contract. This kind of contract is known as National UN Volunteer. It is normally only for nationals. More about UNV National Specialist 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 project where you used statistical methods to solve a problem. | The interviewer wants to assess your practical experience with statistical methods in real-world scenarios. | Provide a specific example, discussing the methods used and the outcomes achieved. |
| How do you ensure the reliability and validity of your data analysis results? | This question evaluates your understanding of psychometrics and data validation techniques. | Pro members can see the explanation. |
| Can you give an example of how you've communicated complex data to a non-technical audience? | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods do you utilize for data integration and preparation? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a time when you worked in a trans-disciplinary team. What challenges did you face? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you handle tight deadlines and a high workload? | Pro members can see the explanation. | Pro members can see the explanation. |
| What innovative solutions have you developed through data analysis? | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you adapt your research approach to different cultural contexts? | Pro members can see the explanation. | Pro members can see the explanation. |