Data Analysis - Population Pulse Report
Assist in quantitative data analysis for the Population Pulse Report.
This opening expired 6 days ago.
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Overview
Assist in quantitative data analysis for the Population Pulse Report.
You have:
- Experience in quantitative data analysis using R and/or Microsoft Excel.
- Knowledge of statistical analysis, data cleaning, data validation, and data management.
- Experience working with international development datasets and official statistical databases.
- Familiarity with major global data sources, including SDG Global Database, UN World Population Prospects, and World Bank Open Data.
- Understanding of demographic, population, health, gender, and sustainable development indicators.
- Experience interpreting metadata, survey methodologies, and indicator definitions.
- Ability to organize large datasets and maintain high standards of data quality.
- Strong analytical, problem-solving, and communication skills.
- Experience preparing analytical summaries, tables, and data visualizations.
- Previous experience supporting UN agencies, national statistical offices, research institutions, or international organizations.
Contract
This is a UNV contract. More about UNV contracts.
The UNFPA Data & Analytics Branch is leading the development of the Population Pulse Report, a new flagship data monitoring publication that provides a comprehensive overview of global and regional demographic and development trends across UNFPA's mandate. The report will synthesize data and analysis on key thematic areas, including population dynamics, sexual and reproductive health and rights, family planning, maternal health, gender equality, harmful practices, adolescents and youth, ageing, humanitarian settings, climate change, and leaving no one behind. The report will draw upon a wide range of internationally recognized data sources to monitor progress towards the Sustainable Development Goals (SDGs) and other global commitments. It aims to present timely, evidence-based insights through high-quality data analysis, visualizations, and concise narrative summaries. To support the preparation of the report, the UNFPA Data & Analytics Branch is seeking Online Volunteers with strong quantitative analysis skills to assist with indicator review, data compilation, quality assurance, and preliminary analysis.
UNFPA is seeking Online Volunteers with experience in statistical analysis and international development data to support the development of the Population Pulse Report. Working closely with the Data & Analytics team, volunteers will review thematic indicator lists, identify and retrieve data from international statistical databases, prepare harmonized datasets, and conduct high-level descriptive analyses that will inform the report's key findings. The assignment offers an opportunity to contribute to one of UNFPA's flagship analytical products while working with globally recognized demographic, health, and socioeconomic datasets.
Task description: The Online Volunteers will support the Data & Analytics team by: - Reviewing thematic indicator lists and providing feedback on indicator definitions, availability, metadata, and reporting methodologies. - Identifying appropriate data sources and compiling data for approved indicators. - Retrieving, cleaning, harmonizing, and organizing datasets from international databases. - Supporting data quality assurance by identifying inconsistencies, missing values, methodological differences, and potential data limitations. - Preparing reproducible data extraction and processing workflows using R and Microsoft Excel. - Conducting high-level descriptive analysis of global, regional, and country-level trends. - Producing summary statistics, analytical tables, data visualizations, and charts to support evidence-based analysis and report narratives. - Documenting data sources, methodologies, assumptions, and processing steps to ensure transparency and reproducibility.
Experience in quantitative data analysis using R and/or Microsoft Excel. Knowledge of statistical analysis, data cleaning, data validation, and data management. Experience working with international development datasets and official statistical databases. Familiarity with at least some of the major global data sources, including: - United Nations SDG Global Database - UN World Population Prospects (WPP) - Demographic and Health Surveys (DHS) - Multiple Indicator Cluster Surveys (MICS) - UN Population Division - World Bank Open Data - WHO Global Health Observatory - UNICEF databases - UNESCO Institute for Statistics - OECD, ILO, FAOSTAT, or other official international statistical databases is an asset. Understanding of demographic, population, health, gender, and sustainable development indicators. Experience interpreting metadata, survey methodologies, and indicator definitions. Ability to organize large datasets and maintain high standards of data quality. Strong analytical, problem-solving, and communication skills. Experience preparing analytical summaries, tables, and data visualizations is desirable. Previous experience supporting UN agencies, national statistical offices, research institutions, or international organizations is considered an asset.
Potential interview questions
| Can you describe your experience in quantitative data analysis and the tools you have used? | This question helps assess your technical expertise and familiarity with data analysis tools. | Provide examples of specific projects or roles where you performed data analysis. |
| How do you ensure data quality and integrity in your analyses? | The interviewer is looking for your approach to data validation and quality assurance. | Pro members can see the explanation. |
| What major global data sources are you familiar with and how have you used these in your work? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain a project where you had to clean and organize large datasets? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a time when you had to present data findings to a non-technical audience. What approach did you take? | Pro members can see the explanation. | Pro members can see the explanation. |
| What statistical methods are you most comfortable with, and how have you applied them in your analyses? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you keep current with developments in data analysis and statistics? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you provide an example of how you've worked on a team to achieve a data analysis objective? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 20 days ago
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Updated 6 days ago
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Source:
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