Sustainability Data Analyst - TR Foundation

2 - 4 years

4 - 6 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Responsible Business Team

The Responsible Business team at the Thomson Reuters Foundation works to promote corporate transparency and ethical business practices that support more equitable economies. By leveraging TRFs global networks, legal expertise, and data intelligence, the team collaborates with businesses, investors, lawyers, civil society organisations, and journalists to explore how business decisions impact lives and livelihoods.Their work spans a range of critical issues, including:

  • Labour rights and workforce transparency
  • Responsible adoption of AI technologies
  • The just transition to a greener economy

Key initiatives include the (WDI), which improves data and transparency on how companies treat workers across their operations and supply chains, and the (AICDI), a partnership with UNESCO to shape ethical corporate AI adoption. The team also hosts cross-sector working groups, data-driven briefings, and training sessions, and plays a central role in TRFs annual Trust Conference, which convenes global leaders to discuss pressing human rights and business issues.Their mission is grounded in TRFs broader goal: to strengthen free, fair, and informed societies by helping shape economies that balance people and profit.

About the Role:

  • 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 identifyemerging 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, including 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.
  • FamiliaritywithESG 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 intuitionsuch as spotting anomalies or inconsistencies in data manipulation processes would be a plus.

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Thomson Reuters

Information Services

Toronto

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