Review of the national system for monitoring the risk of education segregation of Roma children, Geneva, Switzerlan, 5 months (Internationals, Home Based)
Review and analyze education data to support Roma children.
Overview
Review and analyze education data to support Roma children.
You have:
- Master’s in education, data and statistics
- Minimum 10 years in data analysis, preferably within the education or social sector.
- Demonstrated experience working with large administrative datasets (HMIS, EMIS, or similar).
- Fluency in English is required.
- Knowledge of statistical software packages and excel skills are mandatory.
- Proven experience of data analysis
- Expertise in constructing composite indicators and proxy measures
- Experience in EU context
Contract
This is a Consultancy contract. More about Consultancy contracts.
Contract Duration – 5 months
Working arrangement: Home Based
UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence.
At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling.
UNICEF is a place where careers are built. We offer our staff diverse opportunities for professional and personal development that will help them reinforce a sense of purpose while serving children and communities across the world. We welcome everyone who wants to belong and grow in a diverse and passionate culture, coupled with an attractive compensation and benefits package.
Visit our website to learn more about what we do at UNICEF.
TERMS OF REFERENCE
The consultancy is requested in the context of the European Commission's Technical Support Instrument (TSI) project, "Education Desegregation of Roma Children in Slovakia," that aims to support the Ministry of Education, Research, Development, and Youth of Slovakia to tackle the persistent segregation of Roma children in the education system.
If you would like to know more about this consultancy, please review the complete Terms of Reference here: TMC0001811 External ToR.pdf
Requirements:
Education:
- Master’s in education, data and statistics
Work Experience:
- Minimum 10 years in data analysis, preferably within the education or social sector.
- Demonstrated experience working with large administrative datasets (HMIS, EMIS, or similar).
- Experience with international organizations (UN, EU, World Bank)
- Experience with national education data systems is highly desirable
Language Requirements:
- Fluency in English is required
Knowledge/Expertise/Skills:
- Ability to translate complex statistical concepts into policy recommendations.
- Knowledge of statistical software packages and excel skills are mandatory
- Expertise in constructing composite indicators and proxy measures
- Proven experience of data analysis
Desirables:
- Experience in EU context
For every Child, you demonstrate...
UNICEF’s Core Values of Care, Respect, Integrity, Trust and Accountability and Sustainability (CRITAS) underpin everything we do and how we do it. Get acquainted with Our Values Charter: UNICEF Values
UNICEF promotes and advocates for the protection of the rights of every child, everywhere, in everything it does and is mandated to support the realization of the rights of every child, including those most disadvantaged, and our global workforce must reflect the diversity of those children. The UNICEF family is committed to include everyone, irrespective of their race/ethnicity, disability, gender identity, sexual orientation, religion, nationality, socio-economic background, minority, or any other status.
UNICEF encourages applications from all qualified candidates, regardless of gender, nationality, religious or ethnic backgrounds, and from people with disabilities, including neurodivergence. We offer reasonable accommodation for persons with disabilities. throughout the recruitment process. If you require any accommodation, please submit your request through the accessibility email button on the UNICEF Careers webpage Accessibility | UNICEF. Should you be shortlisted, please get in touch with the recruiter directly to share further details, enabling us to make the necessary arrangements in advance.
UNICEF does not hire candidates who are married to children (persons under 18). UNICEF has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UNICEF, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination based on gender, nationality, age, race, sexual orientation, religious or ethnic background or disabilities. UNICEF is committed to promote the protection and safeguarding of all children. All selected candidates will, therefore, undergo rigorous reference and background checks, and will be expected to adhere to these standards and principles. Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check, and selected candidates with disabilities may be requested to submit supporting documentation in relation to their disability confidentially.
Qualified candidates are invited to submit the following documents via the online recruitment portal, TMS (Talent Management System):
- An up-to-date TMS profile and curriculum vitae (CV)
- Cover letter
- A separate financial proposal TMC0001811 Financial proposal.docx
Remarks:
UNICEF does not charge a processing fee at any stage of its recruitment, selection, and hiring processes (i.e., application stage, interview stage, validation stage, or appointment and training). UNICEF will not ask for applicants’ bank account information.
All UNICEF positions are advertised, and only shortlisted candidates will be contacted and advance to the next stage of the selection process.
Additional information about working for UNICEF can be found here.
Potential interview questions
| Can you describe a time when you had to analyze a large dataset and what findings you derived from it? | This question assesses your analytical skills and experience with large datasets. | Provide a specific example of a project, detailing the dataset, your analysis methods, and the insights gained. |
| How would you approach translating statistical data into policy recommendations? | This evaluates your ability to communicate complex data in a practical way. | Pro members can see the explanation. |
| What statistical software are you proficient in and how have you applied it in previous roles? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you provide an example of a composite indicator you have constructed? What was the purpose? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenge you faced while working with educational data and how you overcame it. | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you ensure data accuracy and reliability in your analyses? | Pro members can see the explanation. | Pro members can see the explanation. |
| What role do you think data plays in addressing education segregation? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you stay updated on educational policies and data analysis techniques? | Pro members can see the explanation. | Pro members can see the explanation. |