Research Analyst - Council on Energy, Environment and Water (CEEW)

About the Organization:

The Council on Energy, Environment and Water is one of Asia’s leading not-for-profit policy research institutions. CEEW uses data, integrated analysis, and strategic outreach to explain – and change – the use, reuse, and misuse of resources.

Job Description:

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.

Job Responsibilities:

Primary responsibilities

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.

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.

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.

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.).

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. 

Education Qualification/Required Skills & Experience:

• 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.

For more information please check the Link