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Mid-level generalist data role with common analytics and cloud skills attracts moderate applicant density.
Core analytics, cloud, and automation skills are broadly transferable across industries, easing cross-sector fit.
Explicit 3+ years requirement plus multiple mandatory tech skills (Python, cloud, ETL, BI) makes filters stringent.
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Coordinate with multiple internal and external stakeholders to develop insights and analytics for a large social impact program on presbyopia in rural India.
Manage and maintain program dashboards, backend tech infrastructure, data pipelines (ETL), automation tools, and troubleshoot field data collection in real-time.
Drive adoption and deployment of technology-based product solutions at scale, support program expansion planning, and synthesize pilot learnings for strategic decisions.
3+ years of experience in data analytics with a focus on AI-first approaches, cloud technology, and process design.
Proficiency in Excel/Google Sheets and data visualization tools such as Power BI, Tableau, or Google Data Studio.
Experience with cloud environments including managing Virtual Machines, databases, debugging and basic troubleshooting.
Ability to build automation using Python or similar tools; knowledge of serverless application development.
Experienced in cross-functional coordination and capable of independently managing tech infrastructure and analytics in fast-paced, impact-driven environments.
Strong technical skills in Python coding, cloud operations, ETL pipelines, and automation building, enabling quick understanding and configuration of complex data setups.
Background or interest in public health or social impact projects, especially those leveraging technology to scale rural development initiatives.