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Climate Data and Risk Analyst
IOM - UN MigrationCMIL Climate Data and Risk Analyst developing RICD and providing data sourcing support. Working with partners to improve climate displacement risk analysis across multiple regions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative and qualitative research methodologies relevant to climate displacement risk, with strong analytical skills in data processing, statistical analysis, and modelling. Proficient in using analytical tools and frameworks to assess and improve data quality and interoperability across diverse datasets.
Highest-signal resume keywords
Quantitative Risk AnalysisData Cleaning and ProcessingProficiency in R, Python, QGISExperience with RICD or Comparable ToolsStrong Written and Verbal Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Quantitative ResearchQualitative ResearchStatistical AnalysisModelling FrameworksData InteroperabilityData ValidationRisk Indices ReviewData Source AssessmentHousehold SurveysFocus Group Discussions
Soft Skills
Organisational SkillsIndependent WorkCoordination with PartnersTraining and SupportCommunication Skills
Tools & Technologies
RPythonQGISStatistical SoftwareData Processing Workflows
Certifications & Qualifications
Master's Degree in Relevant Field
Industry Keywords
Climate AdaptationDisplacement RiskHumanitarian ContextsData ScienceEnvironmental Science
Tech Stack
Tools & technologiesPythonRemote Sensing
About the role
Key responsibilities & impact- Conduct quantitative analysis of climate displacement risk data across CMIL priority countries, in particular in countries with low analytical capacity. Generally this work will take place with expert partners but may also involve independent technical work.
- Review, stress-test, and propose targeted improvements to existing RICD modelling approaches, including assumptions, indicators, weighting, and aggregation methods.
- Support the development and adaptation of micro-level analysis methodologies combining quantitative and qualitative elements.
- Contribute to the RICD methodological working group, providing technical inputs on modelling design, indicator selection, and data quality.
- Support the integration of hazard-specific displacement risk assessments (e.g. flood, drought, heatwave) and vulnerability dimensions (e.g. conflict) into the RICD analytical framework.
- Ensure gender-sensitive data considerations are reflected in analytical outputs.
- Support alignment of RICD analytical approaches with CMIL colleagues in other regions and IOM HQ.
- Develop and improve hazard, exposure, and vulnerability simulations in key hotspots.
- Identify gaps in country-level climate and displacement data and work with national partners and IOM missions to source, clean, and validate relevant datasets.
- Assess the quality, coverage, and reliability of available data at country level across CMIL priority countries.
- Develop or adapt data processing workflows to improve consistency, comparability, and usability of datasets within the RICD framework.
- Improve the interoperability of data across different sources, formats, and scales — including government administrative data, household surveys, and remote sensing products.
- Propose and apply proxy indicators or methodological workarounds where primary data is unavailable or of insufficient quality.
- Provide hands-on technical support and training to national technical staff and local partners on data collection, processing, and analytical methods relevant to climate displacement risk.
- Support partners in understanding, applying, and contextualising RICD outputs at country level, including through guidance notes and direct accompaniment.
- Develop simplified technical materials and training resources tailored to varying levels of technical capacity among partner institutions.
- Serve as an analytical support, where required for the CMIL teams globally, supporting colleagues on data queries, output interpretation, and quality assurance of analytical products.
- Contribute to RICD reports, technical briefs, and other knowledge products, translating findings into accessible outputs for policy and programme audiences.
Requirements
What you’ll need- Master's degree relevant to climate adaptation, environmental science, migration, data science or similar.
- Proven experience in conducting both quantitative and qualitative research on displacement-related issues.
- Strong understanding of datasets and data sources relevant to climate-induced displacement.
- Demonstrated experience in quantitative risk analysis, with applied knowledge of methods and tools relevant to climate or displacement risk assessment.
- Experience reviewing or contributing to risk indices, composite indicators, or similar modelling frameworks, including identifying weaknesses and proposing improvements.
- Demonstrated experience working with incomplete, fragmented, or low-quality datasets in developing country or humanitarian contexts, and ability to apply practical solutions to data gaps.
- Experience supporting or training national technical counterparts on data and analytical methods is an asset.
- Prior exposure to the RICD or comparable displacement risk tools is a strong advantage.
- Experience working with government counterparts, research institutions, or international organisations on climate or displacement data is desirable.
- Experience in humanitarian or hardship operational contexts is an asset.
- Strong quantitative analytical skills, including data cleaning, processing, statistical analysis, and modelling.
- Proficiency in analytical tools such as R, Python, QGIS, or equivalent.
- Qualitative research skills, including designing and conducting household surveys, key informant interviews and focus group discussions.
- Ability to assess and improve data interoperability across formats, sources, and scales.
- Excellent written and verbal communication, with the ability to translate technical findings for non-specialist audiences.
- Ability to work independently while coordinating effectively with diverse technical partners across multiple countries.
- Strong organisational skills and ability to manage concurrent analytical workstreams.
- Proficiency in English and French is required.
Benefits
Comp & perks- IOM covers Consultants against occupational accidents and illnesses under the Compensation Plan (CP), free of charge, for the duration of the consultancy.
- IOM does not provide evacuation or medical insurance for reasons related to non-occupational accidents and illnesses.
- Consultants are responsible for their own medical insurance for non-occupational accident or illness and will be required to provide written proof of such coverage before commencing work.