key responsibilities:

1. Data Analysis &amp; Insight Support

<ul>
<li style="margin-left:0px;">Support end-to-end analysis of secondary datasets, including cleaning, processing, aggregating, and running exploratory cuts.</li>
</ul>

<ul>
<li style="margin-left:0px;">Work with structured CSR datasets to identify trends in sectors, geographies, company types, and implementing partners.</li>
</ul>

<ul>
<li style="margin-left:0px;">Generate clear and reliable insights for internal teams working on CSR, philanthropy, research, and thematic engagements.</li>
</ul>

<ul>
<li style="margin-left:0px;">Maintain accuracy and high attention to detail in all analytical outputs.</li>
</ul>

2. Visualisation &amp; Data Storytelling

<ul>
<li style="margin-left:0px;">Create visual outputs such as charts, tables, and dashboards using Excel and BI tools (Tableau/Power BI).</li>
</ul>

<ul>
<li style="margin-left:0px;">Convert analytical findings into simple, intuitive narratives for briefs, decks, and platform content.</li>
</ul>

<ul>
<li style="margin-left:0px;">Support the team on CSR narratives around capital flows, geography transitions, sectoral insights, and archetype evolution.</li>
</ul>

3. CSR COE and Internal Engagements

<ul>
<li style="margin-left:0px;">Work as part of the Data COE and build expertise in CSR funding trends, ecosystem structures, and emerging patterns.</li>
</ul>

<ul>
<li style="margin-left:0px;">Provide data support for CSR landscape reports, leadership discussions, thematic research, and corporate engagements.</li>
</ul>

<ul>
<li style="margin-left:0px;">Assist in generating datasets and insights for special projects such as:</li>
</ul>

<ul>
<li style="margin-left:0px;">CSR multi-vector ecosystem analysis</li>
</ul>

<ul>
<li style="margin-left:0px;">Rise of non-NGO partners</li>
</ul>

<ul>
<li style="margin-left:0px;">Geography shift of CSR</li>
</ul>

<ul>
<li style="margin-left:0px;">Business–Need alignment</li>
</ul>

<ul>
<li style="margin-left:0px;">Innovation and knowledge-focused CSR themes</li>
</ul>

4. Data Infrastructure &amp; Process Rigour

<ul>
<li style="margin-left:0px;">Maintain version-controlled datasets and ensure reproducible data workflows.</li>
</ul>

<ul>
<li style="margin-left:0px;">Document data dictionaries, metadata, and transformation steps.</li>
</ul>

<ul>
<li style="margin-left:0px;">Support platform analytics and contribute to internal knowledge dashboards.</li>
</ul>

5. Working with People

<ul>
<li style="margin-left:0px;">Collaborate closely with peers, managers, and cross-functional teams.</li>
</ul>

<ul>
<li style="margin-left:0px;">Share updates proactively and maintain transparency on deliverables.</li>
</ul>

<ul>
<li style="margin-left:0px;">Demonstrate openness to feedback and willingness to learn.</li>
</ul>

Key Qualifications and Experience:
 Core Skills (Essential)

<ul>
<li style="margin-left:0px;">Undergraduate degree in Statistics, Economics, Engineering, Mathematics, Public Policy, Development Studies, or related fields.</li>
</ul>

<ul>
<li style="margin-left:0px;">1–2 years of experience in data analysis or research, ideally in development, public policy, CSR, or analytics environments.</li>
</ul>

Strong proficiency in:

<ul>
<li style="margin-left:0px;">Excel (Advanced functions, cleaning, pivoting, analysis)</li>
</ul>

<ul>
<li style="margin-left:0px;">Tableau or Power BI</li>
</ul>

<ul>
<li style="margin-left:0px;">Ability to convert data into structured insights with high attention to detail.</li>
</ul>

<ul>
<li style="margin-left:0px;">Understanding of basic statistical concepts, visualisation principles, and analytical hygiene.</li>
</ul>

<ul>
<li style="margin-left:0px;">Interest in development data, CSR ecosystem trends, or capital flow analytics.</li>
</ul>

Preferred Skills (Good to Have)

<ul>
<li style="margin-left:0px;">Exposure to public datasets such as NFHS, Census, NSSO, UDISE+, or CSR filings (MCA).</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with SQL, Python/R, or PowerQuery for data preparation.</li>
</ul>

<ul>
<li style="margin-left:0px;">Prior experience developing dashboards or simple automation workflows.</li>
</ul>

<ul>
<li style="margin-left:0px;">Interest in AI tools for data summarisation, explanation, or visualisation.</li>
</ul>

<ul>
<li style="margin-left:0px;">Ability to write short data summaries or contribute to insights-driven content. </li>
</ul>

Data Analyst in Indore (UID-15140)

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