LI
LiteraData Analyst
Data Analyst within Revenue Operations designing scalable reporting and data solutions. Leveraging Power BI and SQL to support actionable insights for sales, marketing, and customer success teams.
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 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, 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.
Requirements
- 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
Benefits
- Global Perspective and Impact: Interested in working for a dynamic global organization with a focus on social impact? With hubs all over the world from Bangkok to Madrid to Rio de Janeiro, join a truly international team with a shared goal of helping to build societies around the world that are free, fair, and informed.
- Unique Approach: Our expertise in media and the law is world class. We combine the power of both to address the critical issues faced by humanity.
- Our Relevance: With a focus on advancing media freedom, fostering more inclusive economies and promoting human rights, our work has never been more needed than right now.
- Industry Competitive Benefits: We offer competitive salary packages and market-leading benefits.
- Learning & Development: We are dedicated to the continual professional development of our employees and offer access to both in-house and external training opportunities.
Job title
Job type
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Not specified
Degree requirement
Tech skills
Location requirements
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