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Data Analyst

Data Analyst

Reuters

1 - 4 years

10 - 13 Lacs

mumbai

Posted:1 hour ago| Platform:

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Skills Required

stakeholder engagement data analysis analytical market intelligence corporate legal data quality data analyst research data visualization

Work Mode

Work from Office

Job Type

Full Time

Job Description

Clean, prepare, and analyse corporate disclosure data using Excel (e.g., pivot tables, filters, formulas) to support thematic research, scoring mechanisms, and investor-facing products.

Draft content for annual findings reports, research briefings, and insight pieces, turning data-driven insights into clear, accessible narratives.
Monitor relevant market developments, news, and industry reports to help identify emerging themes and inform future research directions.
Contribute to survey refinement by evaluating question clarity, data usability, and structure; assist in reviewing company feedback to improve survey design.
Support engagement with companies and investors by helping explain the methodology , scoring approach, and data insights in a clear and confident manner.
Respond to data-related queries from internal teams, inclu ding engagement and programme colleagues, helping them interpret key metrics or use specific datasets.
Collaborate closely with other analysts and team leads to ensure high-quality outputs aligned with global frameworks and ethical standards.

About You:

We are looking for a purpose-driven data analyst who can turn complex datasets into clear insights, support stakeholder engagement, and contribute to impactful research on responsible business and AI governance . You should have:

Proven experience in data analysis, preferably 2 + years, with demonstrated ability to work across both quantitative and qualitative datasets.

Strong proficiency in Excel, including pivot tables, formulas, and basic data visualization.
Good knowledge in financial markets; experience with market intelligence research, especially sell side research is desirable

Demonstrated ability to work with structured datasets to identify patterns, draw insights, and support cross-cutting analysis.

Solid writing skills, with experience in drafting research content, summaries, or analysis reports for mixed (technical and non-technical) audiences.

Familiarity with ESG disclosure standards / frameworks (e.g., UNGPs, GRI, ISSB, UNESCO AI Ethics Recommendations).

Intellectual curiosity and awareness of ESG-related news, market trends, or AI/workforce governance developments.

Willingness and ability to learn new tools (e.g., Python, Power BI) to expand analytical scope.

Strong communication and collaboration skills, including comfort in cross-functional coordination and external-facing conversations.

Detail-oriented and organized, with a commitment to data quality, relevance, and usability.

A collaborative and proactive approach, with the ability to contribute to team projects, coordinate across functions, and respond constructively to feedback.

Demonstrated data intuition such as spotting anomalies or inconsistencies in data manipulation processes would be a plus

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