Research Analyst - Climate Resilience

Purpose

Advancing resilience to extreme heat and enabling action on sustainable cooling are core pillars of CEEW’s climate resilience programme. We are on a mission to support 300 cities by 2027 in designing and implementing local heat action plans. To strengthen adaptation solutions and build an India-specific understanding of how heat affects health, productivity, and coping behaviours, we are undertaking a first-of-its-kind, systematic household-level assessment of heat risks and adaptive mechanisms across urban India over the next three years.

For this project, CEEW seeks to hire a Research Analyst with strong expertise in statistics, primary survey design and implementation, and multi-sectoral data analysis to lead the quantitative research for this survey.

The role will focus on:

• developing the survey methodology,
• designing and testing questionnaires,
• supporting sampling frameworks,
• working with survey agencies during field deployment, and
• conducting rigorous statistical analysis and modelling (regressions, odds ratios, weighting, calibration) to generate insights on the impacts of extreme heat on health, productivity, mobility, water, energy, and livelihoods.

The analyst will also contribute to linking household-level data with facility-level health datasets, integrating multi-sectoral secondary datasets, and generating evidence to strengthen Heat Action Plans and SDMF-funded adaptation projects.

This is a high-impact role at the intersection of climate, public health, behavioural science, and data analytics. In addition to the duties and responsibilities outlined below, the individual should be prepared, as needed, to take on additional responsibilities.

Job duties and accountabilities

Primary responsibilities

1. Survey Research & Methodology Development

• Support the design of a scientifically robust, nationally representative household survey on extreme heat.
• Assist in developing sampling strategies (stratified, multi-stage sampling; urban typologies; climatological stratification).
• Contribute to the drafting of questionnaires covering heat-health impacts, productivity, mobility, water, energy, ecology, coping behaviours, and socio-economic variables.
• Support questionnaire translation, piloting, cognitive testing, refinement, and preparation of enumerator manuals.
• Coordinate with survey agencies for training, monitoring, and quality assurance during fieldwork.

2. Statistical Modelling & Data Analysis

• Clean, code, and validate large datasets from household sources.
• Conduct descriptive, inferential, and multivariate statistical analysis, including:
• regression models,
• odds ratios,
• calibration, for instance, and recall bias,
• time-weighted adjustments,
• survey weighting (rim weighting, post-stratification).
• Generate indicators for health, productivity, exposure, coping strategies, and socio-economic vulnerability.
• Integrate facility-level health data (NPCCHH/PHCs/CHCs) with household-level data where possible.
• Build typology-based insights to inform SDMF proposals and Heat Action Plan improvements.

3. Multi-sectoral Data Integration

• Work with secondary datasets, including IMD temperature/humidity, Census, NFHS, NSSO, HMIS, mobility datasets, and NDMA indicators.
• Support linking these datasets with survey results to generate deeper heat-risk insights.

4. Documentation, Writing & Communication

• Draft analytical sections for reports, policy briefs, and peer-reviewed publications.
• Visualise data using dashboards, plots, and GIS-based heat maps.
• Prepare presentations for dissemination at the state, national, and donor levels.
• Participate in thematic workshops and consultations (NDMA, MoHFW, IMD, SDMAs, etc.).

5. Internal Support & Engagement

• Participate in internal research discussions, team meetings, and cross-team collaborations.
• Provide support in planning dissemination events, workshops, and consultations.
• Take initiative in improving research methods, workflows, and tools.

Other responsibilities

• Help the team and enhance personal skills in strategic communication by regularly writing blogs and opinion pieces.
• Respond to research requests from senior researchers, discuss their needs, and prepare summaries and analyses of information.
• Assist with program tasks, such as creating presentations.
• Help plan and organise events such as report launches, workshops, and discussions.
• Actively participate in weekly team meetings.
• Provide suggestions on research methods and data analysis tools.

Selection Criteria

Qualification

• Master’s degree in Statistics, Economics, Public Health, Data Science, Social Sciences, Survey Research, Environmental Health, or related fields.
• Candidates with strong quantitative skills from other disciplines are also welcome to apply.

Work experience

• 1 –2 years of relevant experience in survey-based research, data analytics, econometrics, or climate/health studies.
• Prior experience in household surveys or impact evaluation is a strong plus.

Key skills

Technical Skills

• Strong foundation in statistics and econometric methods.
• Experience with survey sampling, field survey design, and monitoring.
• Proficiency in statistical programming (R & Python). This is a must-have skill.
• Demonstrated experience in working with large datasets and data cleaning.
• Experience with regression models, weighting, calibration techniques, and inferential analysis.
• Familiarity with GIS tools (QGIS/ArcGIS) is desirable.

Behavioural Skills

• Strong problem-solving and analytical thinking.
• Excellent communication and writing skills.
• Ability to work in a fast-paced, dynamic environment.
• Strong interpersonal skills to coordinate with survey agencies and government stakeholders.
• Intellectual curiosity and willingness to learn.

CEEW operates in a dynamic environment, and the candidate will be required to show flexibility in undertaking a variety of tasks.

Compensation

Competitive compensation – commensurate with the experience and matching the best of the standards adopted by the industry or other similar organisations for similar roles.

Application Process

CEEW is an equal-opportunity employer, and the selection process does not discriminate on the basis of age, gender, caste, ethnicity, religion, or sexuality. Female candidates are encouraged to apply.