Data Analyst Fellow

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About the Organization

We are a research lab working at the intersection of data, technology, design and social science to strengthen the course of civic engagements in India.

We work to harness the potential of open knowledge movements and better enable citizens to engage in matters of public reform.

We aim to grow data and tech capacity of governments, non-profits, think-tanks, media houses, universities, and more to enable data-driven decision making at scale.

Job Description

CivicDataLab is seeking a proactive Data Analyst Fellow (Delhi-based)  to join our team. You will work on widely used open data platforms, helping to benchmark metadata against global standards and profile and clean large catalogs to enhance discoverability and access. In the process, you will empower government and civil-society stakeholders to make data-driven decisions.

At CivicDataLab, we believe in using data, tech, design, and social science to strengthen civic engagement and drive evidence-based decision-making. Our projects center on building data strategy, platforms, and applications to foster data-driven governance.

Job Responsibilities

• Establish a framework for evaluating metadata quality - Define metadata-quality KPIs (completeness, update-frequency, PII flags).
• Build a reference matrix to map and align commonly used metadata standards.
• Analyze data catalogs and datasets from source platform to assess usability, and quality.
• Clean, standardize, and enrich metadata in iterative batches
• Develop automated QA checks for completeness, consistency, and deduplication.
• Present findings and incorporate feedback from stakeholders and CDOs.

Education Qualification/Required Skills & Experience

A hands-on data professional with experience in metadata standards (specifically Dublin Core, DCAT or any other metadata standards), knowledge of Python/SQL skills is good to have and a keen eye for quality who can translate deliverables for large volumes of data

For more information please check the Link

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