Data Analytics Intern (Climate Change & Environment)
Internship: Data Analytics Intern — Climate Change & Environment
Tattva Foundation | Delhi | 3 Months | May convert to full-time
The Context
Tattva Foundation, an ICT4D non-profit, is engaged with building a national-level climate change monitoring platform - an MIS and dashboard that tracks climate action across multiple government missions and states. The platform ingests data from diverse sources such as central ministries, state departments, international frameworks, and government portals.
We need a dynamic and data savvy intern to assist the team responsible for the data understanding layer and serve as the bridge between the indicator framework and the design & development team.
What You'll Do
- Study the climate monitoring indicator framework in depth: map each indicator to its definition, data source, collection frequency, baseline, target, and responsible agency
- Trace data flows from source to reporting: identify what's available, what requires manual collection, and what has no reliable source
- Assess data quality: flag missing baselines, undefined targets, unclear methodologies, and inconsistent definitions
- Review existing data collection checklists, templates, and formats: assess adequacy and recommend revisions
- Define data quality rules: validation checks, acceptable ranges, completeness thresholds, cross-indicator consistency, outlier detection logic. These go directly to the dev team for implementation.
- Support data architecture: inform database schema, aggregation logic (mission-wise, state-wise, time-wise), and indicator hierarchies
- Inform dashboard design: advise which indicators to show together, what drill-downs make sense, what comparisons are valid, what quality flags should be visible
- Document everything: data dictionaries, source maps, flow diagrams, quality specs. This is what the team builds on.
Your Role in the Team
You're not building the platform. You're making sure it's built right.
To developers: you provide data dictionaries, validation rules, and aggregation logic.
To designers: you clarify which indicators matter, what groupings work, and what caveats to surface. To the project lead: you flag data gaps and framework risks before they become system problems.
This role is NOT: a dev role, a chart-making internship, or a research fellowship. It's a data understanding and governance role inside a live technology project. Your output directly shapes what gets built.
Who Should Apply
- Pursuing or recently completed a degree in Environmental Science, Climate Science, Data Science, Statistics, Public Policy, Economics, or related field
- Proficient in R or Python for data exploration and analysis
- Genuine climate change context - you know what NDCs, adaptation, mitigation, emissions intensity, and carbon sinks mean
- Strong ability to interrogate data - you look at "percentage increase in water use efficiency" and immediately ask: measured how, by whom, how often, against what baseline, and is it actually being collected?
- Comfortable with M&E concepts: output, outcome, and impact indicators; baselines; targets; disaggregation
- Excellent documentation skills
What You'll Gain
- Hands-on experience on a live national-scale climate data platform
- Rare skill set at the intersection of domain knowledge and technology
- Mentorship from experienced data and technology professionals
- Competitive stipend + certificate
- Opportunity to convert to full-time at Tattva Foundation