Senior level data consultant - GEM REPORT
Lead data analysis for GEM Report to improve education assessment.
Overview
Lead data analysis for GEM Report to improve education assessment.
You have:
- A minimum of 10 years of relevant professional experience in data science is required.
- Experience working with large-scale household survey data and education indicators is required.
- Advanced proficiency in either R or Stata is required.
- Demonstrate the ability to communicate and document technical information in clear English.
- Preference for the ability to work and communicate in another UN Language.
- Advanced data visualization techniques are desirable.
- Familiarity with SQL is a desirable skill.
Contract
This is a Consultancy contract. More about Consultancy contracts.
**OVERVIEW** ------------ Parent Sector : Education Sector (ED) Duty Station: Paris Job Family: Education Type of contract : Non Staff Duration of contract : From 7 to 11 months Recruitment open to : External candidates Application Deadline (Midnight Paris Time) : 02-09-2022 UNESCO Core Values: Commitment to the Organization, Integrity, Respect for Diversity, Professionalism **Individual consultancy contract for 10 months** Long Description ---------------- UNESCO is inviting written proposals from Individuals for the work assignment described in **Annex A**. Your written proposal should comprise: 1\) an updated curriculum vitae 2\) a technical proposal including an approach and methodology for the assignment (1-3 pages) 3\) a financial proposal: the amount to be charged for the assignment, which should be quoted in US dollars, GBP or Euros only for the period: 1 September 2022 – 30 June 2023 as a monthly fee. Please submit your supporting documents in English. Please include any costs for travel to Paris as a separate budget line. **If the above information is not provided,the application will be considered incomplete and dismissed.** UNESCO places great emphasis on ensuring that the objectives of the work assignment, as described in the Terms of Reference, are met. Accordingly, in evaluating the proposals for the assignment, attention will focusfirst and foremost on the technical elements. From those proposals deemed suitable in relation to the criteria set forth in the Terms of Reference, UNESCO shall select the proposal that offers the Organization best value for money Thank you for your interest in this UNESCO assignment; and we look forward to receiving your proposal. Global Education Monitoring Report **Annex A** ----------- 1\. BACKGROUND The Global Education Monitoring Report (or GEM Report), formerly known as the Education for All Global Monitoring Report (GMR), is an editorially independent, authoritative, and evidence-based annual report that monitors progress in education in the Sustainable Development Goals (SDGs), which have been adopted as part of the 2030 Agenda for Sustainable Development. The Report is funded by a group of governments, multilateral agencies and foundations and published annually by UNESCO to serve the international community. It is widely recognised as an indispensable advocacy and technical tool supporting the achievement of SDG 4, which aims to ensure “inclusive and equitable quality education” and promote “lifelong learning for all” by 2030. With its renewed mandate, established in the Incheon Declaration of the World Education Forum in May 2015, the annual GEM Report series will identify effective education policies and analyse major education related themes. The GEM Report consists of two parts. The monitoring part, which analyses progress towards the 10 SDG 4 targets, is also currently paying attention to the impact of COVID-19 on education systems. The thematic part covers an important topic, identified in the Education 2030 Framework for Action; the themes of the next two reports in 2023 and 2024 are technology and leadership, respectively. Each GEM Report is accompanied by a gender and a regional edition. In the case of Africa, a new regional report on basic education completion and foundational learning series, entitled Spotlight, is covering about 12 countries per year starting in 2022. In addition to the printed outputs, the GEM Report also produces online resources, including Scoping Progress in Education (SCOPE), which provides an interactive alternative to the monitoring part of the GEM Report; and the World Inequality Database on Education (WIDE), which analyses disparity between and within countries on a range of education participation and learning indicators. In 2019, the GEM Report partnered with the UNESCO Institute for Statistics (UIS) to harmonize and further develop WIDE. Long Description ---------------- 2\. OBJECTIVES Under the supervision of the GEM Report’s Senior Policy Analyst, the consultant shall carry out a series of activities to support the GEM Report’s processing and use of learning assessment data. In particular, the consultant will lead and engage in the following tasks: - Global-level data analysis - Develop and update SCOPE and WIDE according to their development plan, analysing crossnational learning assessment data. - Compile and, where available, analyse national and cross-national learning assessment data to assess the impact of COVID-19 school closures on learning levels and inequality. - Use national and cross-national learning assessment data such data to explore the impact of selfconcept in science, technology, engineering and mathematics (STEM) on gender learning gaps in these subjects. - Compile and analyse school- and household-level data to estimate measures of school progression and learning at population cohort level. - Analyse national or cross-national learning assessment data with repeated cross-sectional or longitudinal design to understand the evolution of learning levels and the development of inequality in learning (e.g. in the transition from primary to secondary education). - Carry out other research, as agreed with the GEM Report team, based on learning assessment data. - Africa-level data analysis - Analyse national or cross-national learning assessment data at country level, with emphasis on equity, for selected African countries for the Spotlight report series, with emphasis on the focus countries of the 2022/23 cycle, including Niger, South Africa, Uganda and Zambia. - Analyse minimum proficiency level data at the population and student levels respectively by country and key population groups, combining learning achievement and household survey data, to be used for the Spotlight report series. - Explore further possibilities to impute learning outcome levels for countries with missing data, using complementary sources of information. - Engage with partners in the continent to explore ways of sharing data analyses in accessible ways for policy makers. - GEM Report support - Facilitate additional analyses of existing learning datasets by organizing the storage of datasets, harmonizing and standardizing variable names, creating a dictionary and basic code to facilitate use; cleaning and storing code; and producing short guidelines. 3. DELIVERABLES ---------------- 3\. DELIVERABLES a) Updated WIDE and SCOPE datasets using data to be released during the period of the consultancy. b) An updated systematic mapping of studies on COVID-19 related learning loss and recovery and an analysis of principal comparable findings on the magnitude of the learning loss by country characteristics (e.g. by duration of school closure, continuity of learning proxies etc.). c) An analysis of gender gaps in self-concept on STEM subjects and their impact on learning levels. d) An analysis of a joint measure of school progression and learning at population cohort level through compiled school- and household-level data. e) An analysis of the evolution of learning levels inequality based on repeated cross-sectional or longitudinal data. f) Country reports on learning levels and inequality for up to six African countries. g) An analysis of minimum proficiency level data at population and student level, combining learning achievement and household survey data. h) An analysis of minimum proficiency level data across Africa using data imputation. i) A re-organized repository of learning outcome data for the GEM Report research team. 4\. REQUIREMENTS AND DESIRABLE A minimum of 10 years of relevant professional experience in data science is required. Experience working with large-scale household survey data and education indicators; as well as advanced proficiency in either R or Stata is also required. The selected candidate must demonstrate the ability to communicate and document technical information in clear English and preference for the ability to work and communicate in another UN Language. Advanced data visualization techniques and familiarity with SQL are desirable skills. **COMPETENCIES (Core / Managerial)** ------------------------------------ Accountability (C) Communication (C) Innovation (C) Knowledge sharing and continuous improvement (C) Planning and organizing (C) Results focus (C) Teamwork (C) Professionalism (C) **-** ----- For detailed information, please consult the [UNESCO Competency Framework](https://en.unesco.org/sites/default/files/competency_framework_e.pdf). **IMPORTANT: APPLICATION PROCEDURES** In place of the **Employment History Form**, please upload required documents. The whole package needs to be uploaded as **a single PDF document** (CV, Technical and financial proposal): 1\) an updated curriculum vitae 2\) a technical proposal including an approach and methodology for the assignment (1-3 pages) 3\) a financial proposal: the amount to be charged for the assignment, which should be quoted in US dollars, GBP or Euros only for the period: 1 September 2022 – 30 June 2023 as a monthly fee. Please submit your supporting documents in English. Please include any costs for travel to Paris as a separate budget line. **Only complete applications will be considered** **SELECTION AND RECRUITMENT PROCESS** ------------------------------------- Please note that all candidates must complete an on-line application and provide complete and accurate information. To apply, please visit the [UNESCO careers website.](https://careers.unesco.org/careersection/2/joblist.ftl) No modifications can be made to the application submitted. The evaluation of candidates is based on the criteria in the vacancy notice, and may include tests and/or assessments, as well as a competency-based interview. UNESCO uses communication technologies such as video or teleconference, e-mail correspondence, etc. for the assessment and evaluation of candidates. Please note that only selected candidates will be further contacted and candidates in the final selection step will be subject to reference checks based on the information provided. **Footer** ---------- UNESCO recalls that paramount consideration in the appointment of staff members shall be the necessity of securing the highest standards of efficiency, technical competence and integrity. UNESCO applies a zero-tolerance policy against all forms of harassment. UNESCO is committed to achieving and sustaining equitable and diverse geographical distribution, as well as gender parity among its staff members in all categories and at all grades. Furthermore, UNESCO is committed to achieving workforce diversity in terms of gender, nationality and culture. Candidates from non- and under-represented Member States ([last update here](https://en.unesco.org/careers/geographicaldistribution)) are particularly welcome and strongly encouraged to apply. Individuals from minority groups and indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the highest level of confidentiality. Worldwide mobility is required for staff members appointed to international posts. UNESCO does not charge a fee at any stage of the recruitment process.
Potential interview questions
| Describe a project where you analyzed large-scale data sets. What was your approach? | The interviewer wants to assess your experience and methodical thinking in data projects. | Detail your role, the data you worked with, and the outcomes of your analysis. |
| How do you ensure accuracy in your data analyses? | This question aims to evaluate your attention to detail and methodological rigor in data work. | Pro members can see the explanation. |
| Can you give an example of how your findings influenced educational policy? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you handle conflicting data results? | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies do you use for effective data visualization? | Pro members can see the explanation. | Pro members can see the explanation. |