Support end-to-end analysis of secondary datasets, including cleaning, processing, aggregating, and running exploratory cuts.
Generate clear and reliable insights for internal teams working on CSR, philanthropy, research, and thematic engagements.
Create visual outputs such as charts, tables, and dashboards using Excel and BI tools (Tableau/Power BI).
Convert analytical findings into simple, intuitive narratives for briefs, decks, and platform content.
Work as part of the Data COE and build expertise in CSR funding trends, ecosystem structures, and emerging patterns.
Maintain version-controlled datasets and ensure reproducible data workflows.
Collaborate closely with peers, managers, and cross-functional teams.
Share updates proactively and maintain transparency on deliverables.

Undergraduate degree in Statistics, Economics, Engineering, Mathematics, Public Policy, Development Studies, or related fields.
1–2 years of experience in data analysis or research, ideally in development, public policy, CSR, or analytics environments.
Strong proficiency in: Excel (Advanced functions, cleaning, pivoting, analysis) Tableau or Power BI
Ability to convert data into structured insights with high attention to detail.
Understanding of basic statistical concepts, visualisation principles, and analytical hygiene.
Interest in development data, CSR ecosystem trends, or capital flow analytics.
Exposure to public datasets such as NFHS, Census, NSSO, UDISE+, or CSR filings (MCA).
Familiarity with SQL, Python/R, or PowerQuery for data preparation.
Prior experience developing dashboards or simple automation workflows.
Interest in AI tools for data summarisation, explanation, or visualisation.
Ability to write short data summaries or contribute to insights-driven content.

Structured exposure to India’s largest CSR and development datasets.
A chance to build a specialisation in CSR capital flows and ecosystem insights.
Mentorship from experienced analysts and domain experts at IDI and Sattva.
Opportunities to work across research, product, storytelling, and AI-driven data innovation.
A platform to shape how data informs decision-making in India’s social sector.

Data Analyst

Key skills