Hardship Level (not applicable for home-based)
Family Type (not applicable for home-based)
Staff Member / Affiliate Type
Target Start Date
Job Posting End Date
December 4, 2023
Terms of Reference
• Proficiency in statistical analysis, including hypothesis testing, regression analysis, and data modeling.
• Strong analytical skills to interpret data, draw insights, and make data-driven decisions.
• Proficiency in data manipulation and cleaning using tools like Python, R, or specialized software like SAS or SPSS.
• Ability to create clear and insightful data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).
• Proficiency in programming languages like Python or R for data analysis and statistical modeling.
• Familiarity with data analysis and visualization tools, statistical software, and databases (e.g., Excel, SQL).
• Strong problem-solving skills to tackle complex data-related issues and find solutions.
• Familiarity with a wide range of statistical techniques, including time series analysis, clustering, and machine learning algorithms.
• Experience in data management, data cleaning, and data preprocessing to ensure data quality.
• Effective written and verbal communication skills to convey data insights to both technical and non-technical stakeholders.
• Strong attention to detail to ensure accuracy in data analysis and reporting.
• Ability to manage and prioritize multiple tasks and projects effectively.
• Collaboration and teamwork skills are often important, as data analysis associates may work with cross-functional teams.
• The ability to adapt to new tools, techniques, and data sources as technology and data analysis methods evolve.
• Awareness of and adherence to ethical standards in data collection, analysis, and reporting.
• A commitment to staying updated with the latest trends and advancements in data analysis and statistics.
• Familiarity with the data lifecycle and various assessments and research methods
Statistics and Data Analysis Associate Organizational Setting and Work Relationships The UNHCR Data Transformation Strategy 2020-2025 envisions that by 2025 UNHCR becomes a trusted leader on data and information related to refugees and other persons of concern, thereby enabling actions to protect and to empower persons of concern. The Strategy stipulates investing in four complementary priority areas: data management and governance; information systems; capacities and skill development; and culture for evidence-informed decision-making. The strategy envisages data and information management functions in UNHCR carried out in a complementary and inter-linked manner between Headquarters Divisions and Services, Regional Bureaux, Country Operations and key external partners, including persons of concern. Under the supervision of the (Senior) Statistics and Data Analysis Officer, (Senior) Statistician, (Senior) DIMA Coordinator or other designated manager, the Statistics and Data Analysis Associate assists in coordinating and supporting statistical and data analysis activities in the relevant Office(s) or Service for evidence-informed planning, advocacy, and coordination. This includes liaising on related statistical and data issues with other UNHCR Offices, programme and protection colleagues, technical units (e.g. health, livelihoods, shelter, energy, and education) as well as key external stakeholders and other agencies, including Government partners in the national statistical system. The Statistics and Data Analysis Associate provides technical support for the design, data collection, processing, analysis and dissemination stages of the statistical process. S/he will provide the necessary quality assurance and technical support for statistical and data analysis activities to Headquarters, the Regional Bureaux, and Operations; helps ensure these processes are in accordance with technical and ethical statistical standards; and undertakes global, regional or country-specific statistical and data analysis activities. The incumbent will support multi-stakeholder, multi-sector, and multi-country activities in relation to planning, funding and advocacy efforts, as well as internal and external assessments, regional and country-based planning and monitoring activities. All UNHCR staff members are accountable to perform their duties as reflected in their job description. They do so within their delegated authorities, in line with the regulatory framework of UNHCR which includes the UN Charter, UN Staff Regulations and Rules, UNHCR Policies and Administrative Instructions as well as relevant accountability frameworks. In addition, staff members are required to discharge their responsibilities in a manner consistent with the core, functional, cross-functional and managerial competencies and UNHCR¿s core values of professionalism, integrity and respect for diversity. Duties – Contribute to data, information management and registration strategies with statistical and data analysis elements with a vision on the use of statistics and analytical data products, particularly in planning, programming and advocacy, at the country, regional and HQ levels as appropriate. – Implement UNHCR’s policies and procedures on planning and reporting on UNHCR’s operational activities (results-based management and planning figures). – Support quality assurance and provide technical advice on statistical analyses and indicators; take part in relevant planning processes as appropriate and where support is needed. – Contribute to the development or revision of statistical concepts, definition, standards and classifications used in UNHCR for research and decision-making. – Contribute to the development or improvement of statistical methods and quantitative models for analyses and projections on forced displacement and statelessness. – Support implementation of coherence and compliance with organisational standards, methodologies, and support for data analysis activities such as surveys, secondary data reviews, targeting and vulnerability assessments, indicator definition, population estimation, statistical analysis, predictive analytics, big data, international recommendations, data visualisation, official statistics and other statistical and data analysis activities. – For all data collection or statistical analysis activities, contribute to developing plans and monitor implementation to ensure statistics and analysis are of highest standards. – Ensure statistical and analytical products produced by UNHCR or with partners meet required standards and are compliant with relevant policies to uphold integrity, veracity, reliability and credibility. – Compile, consolidate, validate and disseminate official statistics on populations of concern to UNHCR at country, region or global level, including annual statistics. – Support the development or revision of methodological approaches and standards for statistical surveys conducted by UNHCR or partner organizations in support of monitoring, assessment, targeting, evaluation, operational plans and results reporting. – Support the design and implementation of relevant statistical analytical products and oversee their production, including quality assurance. – Undertake data analysis activities, including on persons of concern derived from UNHCR¿s data systems such as, registration and identity management, results-based management, back office or other sectoral data systems. – In coordination with sectoral and other data staff, apply statistical scenarios and models based on historical, recent and seasonal information to support comparative country, regional and global analysis, including political and sociodemographic trends. – Advise on the appropriate methods and tools to be used in statistical and data analysis activities to be undertaken in regional or country, or by other Headquarters units. – In coordination with sectoral and other data staff, provide administrative support to the review and development of indicators to be used to report on UNHCR¿s populations of concern. – Contribute to technical and sectoral reports and to recommendations for follow-up actions with regard to the strengthening of statistics and data analysis. – Provide input to statistical and analytical reports for UNHCR and/or with partners, manuals and websites within the Area of Responsibility (AoR). – With information management staff, support consistency in the analytical approach at global, regional and/or country level, including for the purpose of cross-border analysis and response. – Contribute to partnerships and activities relevant to statistics and data analysis within the AoR. – If required, participate on behalf of UNHCR in meetings or conferences. – Provide administrative support to capacity strengthening activities for UNHCR and other stakeholders, including national statistical partners on statistics. – Organize and participate in missions, workshops, seminars, working groups and expert meetings as a technical resource person, providing technical documents and drafting relevant reports. – Perform other related duties as required. Minimum Qualifications Education & Professional Work Experience Years of Experience / Degree Level For G6 – 3 years relevant experience with High School Diploma; or 2 years relevant work experience with Bachelor or equivalent or higher Field(s) of Education Not applicable. Certificates and/or Licenses Social Sciences; Statistics; Demography; Geography/GIS; Epidemiology; Economics; Data Management; Operational Data Management Learning Program; or related field. (Certificates and Licenses marked with an asterisk* are essential) Relevant Job Experience Essential: 2 years in data or statistical field. Experience with national and/or international statistical systems. Ability to translate planning-specifications into technical briefs for data collection and analysis, and vice versa. Understanding of different data collection methodologies. Familiarity with planning, programming, strategic planning, project development, budgeting and resource mobilization. Experience working with partners, including host and donor Governments, humanitarian and development partners. Desirable: Experience with data analysis in developmental or humanitarian contexts. Understanding of the principles and concepts of international protection and UNHCR. Experience in data collection and analysis in field situations preferably in the context of UNHCR. Knowledge of international protection, human rights and international humanitarian law. Knowledge of UNHCR and interagency policies, standards, programmes and operations. Knowledge of GIS and geospatial systems and techniques. Understanding of civil registration and other national population registration systems. Experience working with or in national statistical offices. Functional Skills DM-Data collection methodologies DM-Data Management DM-Open Source Software & Data DM-Population census and econometrics DM-Protection Data Management Systems DM-Qualitative data analysis DM-Quantitative data analysis IM-Statistics Analysis (Functional Skills marked with an asterisk* are essential) Language Requirements For International Professional and Field Service jobs: Fluency in English and UN working language of the duty station if not English. For National Professional jobs: Knowledge of English and UN working language of the duty station if not English and local language. For General Service jobs: Knowledge of English and/or UN working language of the duty station if not English. All UNHCR workforce members must individually and collectively, contribute towards a working environment where each person feels safe, and empowered to perform their duties. This includes by demonstrating no tolerance for sexual exploitation and abuse, harassment including sexual harassment, sexism, gender inequality, discrimination and abuse of power. As individuals and as managers, all must be proactive in preventing and responding to inappropriate conduct, support ongoing dialogue on these matters and speaking up and seeking guidance and support from relevant UNHCR resources when these issues arise. This is a Standard Job Description for all UNHCR jobs with this job title and grade level. The Operational Context may contain additional essential and/or desirable qualifications relating to the specific operation and/or position. Any such requirements are incorporated by reference in this Job Description and will be considered for the screening, shortlisting and selection of candidates.
DM-Data collection methodologies, DM-Data Management, DM-Open Source Software & Data, DM-Population census and econometrics, DM-Protection Data Management Systems, DM-Qualitative data analysis, DM-Quantitative data analysis, IM-Statistics Analysis
Data Management – Other, Demographics – Other, Economics – Other, Epidemiology – Other, Geographic Information Systems – Other, Geography – Other, HCR Operational Data Management Learning Program – UNHCR, Social Sciences – Other, Statistics – Other
Only Shortlisted candidates will be contacted for the Assessment Exercises for the recruitment of the position, which may include Written/Technical tests and/or Interviews, as applicable for recruitment of the position.This position doesn’t require a functional clearance