Data Analyst Specialist
Strengthen results-based management and data analysis in FGM elimination efforts.
Overview
Strengthen results-based management and data analysis in FGM elimination efforts.
You have:
- A technical professional with a strong interdisciplinary background in data science.
- Hands-on expertise in geospatial and AI-driven analysis, applying tools such as QGIS, Python, R, and small area estimation models.
- Demonstrated experience in large-scale data management, including the design and use of data entry systems such as DHIS2 and SQL.
- Experience in the design and operationalization of indicator measurement using survey methodology, respondent-driven sampling, and digital data collection tools.
Contract
This is a UNV contract. More about UNV contracts.
This UNV assignment is part of UNFPA’s flagship programming initiative specifically - UNFPA–UNICEF Joint Programme on the Elimination of Female Genital Mutilation.
Launched in 2008, the UNFPA–UNICEF Joint Programme on the Elimination of Female Genital Mutilation (JP FGM) is the largest global initiative dedicated to ending FGM. It operates under the shared belief that FGM is a violation of human rights and a form of gender-based violence. More information is available at www.unfpa.org/joint-programme-female-genital-mutilation.
Mandate & Focus
The Joint Programme works to accelerate the abandonment of FGM across high-prevalence countries by addressing the social norms, health consequences, and structural drivers that sustain the practice.
Current Phase (2022–2025)
The programme is in its fourth phase, operating across 17 priority countries in Africa and the Middle East, with a focus on scaling up proven interventions, strengthening national systems, and generating evidence.
Key Outcomes
- Increased proportion of communities publicly declaring abandonment of FGM
- Strengthened health systems capacity to manage and prevent FGM
- Improved national laws, policies, and budgets addressing FGM
- Enhanced data and evidence systems for tracking progress
Relevant Stakeholders
- UN Agencies — UNFPA and UNICEF as co-leads
- Donor Governments — including the European Union, Norway, Italy, UK, and Spain
- National Governments — Ministries of Health, Gender, Education, and Finance
- Civil Society Organizations — community-based and women-led organizations
- Communities — including religious leaders, traditional authorities, women, girls, and men/boys as change agents
Under the direct supervision of the Global Coordinator for the Female Genital Mutilation (FGM) Trust Fund, the UN Volunteer will undertake the following tasks:
• Strengthen results-based management in planning and implementation o Generate FGM risk incidence (using United Nations Population Fund (UNFPA ) slides on methodology) and attitudinal risk incidence generated from District Health Information System (DHIS), Multiple Indicator Cluster Surveys (MICS), and other surveys for 18 countries across multiple years. o Generate Subnational Administrative Estimates (SAE) of FGM prevalence from DHIS, MICS, and other surveys for 18 countries across multiple years. o Feed the FGM social media database from 2008 to 2025 into UNFPA’s Demographic Intelligence from Open Sources (DIOS) platform. o Link geospatial Joint Programme (JP) programmatic data with the above data, FGM social media (DIOS), and Google embeddings.
• Using existing metadata, pilot test social norm indicators in existing surveillance/health information systems (Antenatal Care (ANC)/Immunization) using Open Data Kit (ODK) or Kobo Toolbox in one country.
• Using a respondent-driven sampling approach, pilot test generating FGM data among small or hidden populations in one country. Furthermore, UN Volunteers are required to:
• Strengthen their knowledge and understanding of the concept of volunteerism by reading relevant United Nations Volunteers (UNV) and external publications and take active part in UNV activities (for instance, in events that mark International Volunteer Day);
• Be acquainted with and build on traditional and/or local forms of volunteerism in the host country;
• Reflect on the type and quality of voluntary action that they are undertaking, including participation in ongoing reflection activities;
• Contribute articles or write-ups on field experiences and submit them for UNV publications, websites, newsletters, press releases, etc.;
• Assist with the UNV Buddy Programme for newly arrived UN Volunteers;
• Promote or advise local groups in the use of online volunteering or encourage relevant local individuals and organizations to use the UNV Online Volunteering service whenever technically possible. Results/Expected Outputs 1. FGM risk and attitudinal incidence generated for 18 countries across multiple years. 2. Subnational FGM prevalence estimates produced for 18 countries using DHIS, MICS, and other surveys. 3. FGM social media dataset (2008–2025) integrated into UNFPA's DIOS platform. 4. JP programmatic data in the DHIS platform linked with risk incidence, SAE prevalence, DIOS social media signals, and Google embeddings. 5. Report on process, lessons learned, and recommendations for pilot exercises on social norm indicators within existing ANC/immunization surveillance systems using ODK or Kobo Toolbox and respondent-driven sampling methodology for generating FGM estimates among small and hard-to-reach populations.
- Accountability
- Adaptability and Flexibility
- Client Orientation
- Commitment and Motivation
- Commitment to Continuous Learning
- Communication
- Creativity
- Ethics and Values
- Integrity
- Knowledge Sharing
- Planning and Organizing
- Professionalism
- Respect for Diversity
- Self-Management
- Technological Awareness
Working in Teams
A technical professional with a strong interdisciplinary background in data science, with extensive experience in statistical analysis using large datasets.
- Hands-on expertise in geospatial and artificial intelligence (AI)-driven analysis, applying tools such as QGIS, Python, R, small area estimation models, and large language models to generate epidemiological insights across complex, multi-country settings is preferred.
- Demonstrated experience in large-scale data management, including the design and use of data entry systems such as the District Health Information Software 2 (DHIS2 ) and Structured Query Language (SQL).
- Experience in the design and operationalization of indicator measurement drawing on survey methodology, respondent-driven sampling, and field surveillance systems, using digital data collection tools including Open Data Kit (ODK) and Kobo Toolbox.
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.
A UN Volunteer receives a Volunteer Living Allowance (VLA) per month and is paid at the end of each month to cover housing, utilities, transportation, communications and other basic needs. The VLA can be computed by applying the Post-Adjustment Multiplier (PAM) to the VLA base rate of US$1,602. The VLA base rate is a global rate, while the PAM is country-specific and fluctuates on a monthly basis according to the cost of living. This method ensures that international UN Volunteers have comparable purchasing power at all duty stations irrespective of varying costs of living. The PAM is established by the International Civil Service Commission (ICSC) and is published at the beginning of every month on the ICSC website http://icsc.un.org. For example, kindly enter the link Calculator.
In non-family duty stations that belong to hardship categories D or E, as classified by the ICSC, international UN Volunteers receive a Well-Being Differential (WBD) on a monthly basis. Furthermore, UN Volunteers are provided a settling-in-grant (SIG) at the start of the assignment (if the volunteer did not reside in the duty station for at least 6 months prior to taking up the assignment) and also in the event of a permanent reassignment to another duty station.
UNV provides life, health, permanent disability insurances as well as assignment travel, annual leave, full integration in the UN security framework (including residential security reimbursements). UN Volunteers are paid Daily Subsistence Allowance at the UN rate for official travels, flight tickets for the final repatriation travel (if applicable). A resettlement allowance is paid for satisfactory service at the end of the assignment.
UNV will provide, together with the offer of assignment, a copy of the Conditions of Service, including Code of conduct, to the successful candidate.
Disclaimer The United Nations Volunteers programme (UNV) is an equal opportunity programme which welcomes applications from qualified professionals. We are committed to achieving diversity in terms of gender, nationality and culture.
Potential interview questions
| What strategies would you use to ensure the successful management of large datasets related to FGM? | This question assesses your organizational and analytical skills. | Provide specific examples of past experiences handling large datasets, detailing the strategies that led to successful outcomes. |
| Can you explain a time when you used statistical analysis to inform decision-making in a health program? | The interviewer is looking for practical applications of your skills in relevant contexts. | Pro members can see the explanation. |
| How do you keep up with advancements in data analysis tools and methods? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe your experience working with geospatial data and tools like QGIS. | Pro members can see the explanation. | Pro members can see the explanation. |
| What is your approach to handling sensitive data, especially in the context of FGM? | Pro members can see the explanation. | Pro members can see the explanation. |
| How have you promoted accountability and ethical considerations in your prior work? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you share a challenging problem you encountered in a health data project? How did you resolve it? | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods would you propose to engage communities in the abandonment of FGM? | Pro members can see the explanation. | Pro members can see the explanation. |