We are seeking a skilled and collaborative Data Analyst to join a small, dynamic Data Science team. This role is central to driving our data strategy, building scalable processes, delivering actionable insights, and developing dashboards that support investment decision-making.
You’ll thrive in a curious, outcome-focused environment that values high performance, practical impact, and clear communication. This is an excellent opportunity to work closely with investment professionals, data engineers, and data scientists to turn data into meaningful business insights.
Key Responsibilities
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Develop and maintain scalable, reproducible analytical workflows using Python and SQL.
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Lead dashboard development and visualisation, acting as the team’s go-to expert for tools used by Fund Management teams.
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Collaborate with data engineers and data scientists on data exploration, cleansing, and pipeline optimisation.
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Translate complex data findings into clear, compelling narratives for non-technical stakeholders.
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Partner with investment professionals to identify opportunities, test hypotheses, and deliver insights.
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Contribute to team-wide best practices for data access, documentation, and reproducibility.
Skills & Experience
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4+ years of experience in data analytics or data engineering.
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Strong proficiency in Python (pandas, NumPy, matplotlib/seaborn) and SQL.
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Hands-on experience with BI tools (Power BI preferred).
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Familiarity with cloud-based data platforms (Azure preferred).
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Strong problem-solving skills and attention to detail.
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Ability to work independently and collaboratively in a fast-paced environment.
This role offers the chance to make a tangible impact on investment decisions, while shaping and optimising data processes across the organisation.