Data Analyst

SUMMARY:
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POSITION INFO:

We are seeking a highly motivated and analytically strong Data Analyst to join the Sustainability team. The role will focus on the collection, analysis, and interpretation of sustainability-related data across the
Private Equity portfolio, with additional support provided to the Credit business where required. The successful candidate will demonstrate strong data analytics capabilities and an interest in leveraging systems, automation, and emerging technologies (including AI-enabled tools) to improve data quality and efficiency. While prior experience with sustainability data and reporting frameworks is beneficial, the role is well suited to a candidate with a strong analytical foundation and a willingness to
develop technical expertise in sustainability-related topics. The role supports portfolio monitoring, internal decision-making, investor reporting, and sustainability related value creation through data-driven analysis.

What you'll do:

• Collect, clean, validate, and analyse sustainability-related data from multiple sources, including portfolio company submissions, internal systems, third-party providers, and reporting platforms.
• Support the monitoring and measurement of sustainability performance across the portfolio, including performance against recognised benchmarks and frameworks, to inform portfolio oversight and engagement.
• Support corporate sustainability data management, including emissions monitoring and reporting, with a focus on data quality and consistency for internal and regulatory reporting.
• Apply analytical techniques to identify trends, risks, performance drivers, and opportunities for improvement across sustainability datasets, supporting portfolio monitoring and value creation initiatives.
• Develop clear and compelling data visualisations, dashboards, and reporting outputs that translate data into insights, narratives, and actionable takeaways for internal stakeholders, including investment teams and senior management.
• Leverage data systems, automation tools, and emerging technologies (including AI-enabled solutions and low-code platforms) to improve data collection processes, analytical efficiency, and repeatability of outputs.
• Support portfolio-level measurement of sustainability-related risks and impacts, contributing to broader assessment and monitoring activities undertaken by the Sustainability team.
• Collaborate closely with the Private Equity Sustainability team and provide analytical support to the Credit business on sustainability-related data requests.
• Maintain high standards of data governance, confidentiality, and documentation when handling sensitive portfolio and corporate sustainability data.
• Contribute to the ongoing development and enhancement of sustainability data management tools, systems, and internal processes to support scalable and audit-ready reporting.

Expertise:

• Experience (1+ years) in a data-focused analytical role within a corporate, financial services, consulting, or research environment; experience with sustainability or non-financial data is advantageous but not essential.
• Strong attention to detail and accuracy when working with large, complex, and multi-source datasets.
• Strong analytical skills with proficiency in data manipulation and analysis tools (e.g. Excel, SQL) and data visualisation platforms (e.g. Power BI or similar).
• Experience working with data systems and an interest in leveraging automation, low-code tools, or AI-enabled platforms (e.g. Airtable or similar) to improve data workflows and analytical outputs.
• Ability to critically interpret data, identify inconsistencies or anomalies, and communicate findings clearly to both technical and non-technical stakeholders.
• Strong written and verbal communication skills, with the ability to present insights and data-driven narratives in a clear, structured, and professional manner.
• Self-motivated, well-organised, and able to manage multiple priorities in a fast-paced environment.
  Familiarity with sustainability and non-financial reporting frameworks (e.g. SFDR, TCFD, CSRD).
• Demonstrated commitment to continuous learning and professional development, particularly in sustainability-related topics.

Your Expertise:

• Bachelor’s degree in a relevant field such as data analytics, finance, sustainability, economics, engineering, or a related quantitative discipline.