Ramsey Portia
Data Analyst – Fund Management
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Data Analyst – Fund Management | London | Competitive + Bonus
SQL | Python | Data Visualisation (Power BI / Tableau) | Data Warehousing (Snowflake / Databricks)
Our client, a leading US private markets fund manager, is looking for a Data Analyst to join its London office and play a central role in building modern data and analytics capability across the business. This is a hands-on technical role where your SQL, Python, data visualisation, and cloud data warehousing skills will be used daily — and developed further.
The role:
Sitting at the intersection of the commercial business and technology, you'll design and deliver the data infrastructure, analytics, and reporting that drive client-facing and sales decision-making. Day to day you will:
- Write and optimise SQL against a Snowflake cloud data warehouse, working across multiple source systems (CRM, sales, client, product, and flows data)
- Use Python for analysis, automation of data retrieval and transformation, and prototyping new solutions
- Build and maintain polished, well-governed dashboards and data models in Power BI / Tableau that give stakeholders genuine decision-grade insight
- Support the development of scalable data pipelines and infrastructure, helping move the business beyond static reporting into automated, workflow-embedded intelligence
- Identify and remediate data quality issues, championing governance, consistency, and structured data classification
- Partner with sales, client-facing, and technology teams — translating commercial problems into practical data solutions and explaining technical concepts to non-technical audiences
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The role requires:
- Strong SQL — confident querying, joining, and modelling data, ideally in a cloud platform such as Snowflake (or Databricks/similar)
- Working knowledge of Python for analytics and automation
- Hands-on data visualisation experience with Power BI or Tableau, including data modelling and building scalable, performant datasets
- Data warehousing experience — understanding of pipeline design, transformation, and working across multiple source systems
- Experience gained as a Data Analyst or in a similar analytical role; backgrounds ranging from a few years' experience through to established analysts will be considered
- Financial services / asset management exposure is a plus, not a prerequisite — as is any experience with AI-assisted analytics or ML use cases
- A proactive, curious mindset with strong communication skills and attention to detail
- Degree in a quantitative field (Data Science, Computer Science, Business Analytics or similar) preferred
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What's on offer:
- Hybrid working
- Generous holiday
- Strong health and wellbeing benefits
- Paid volunteering
- Professional development and qualification support
- Genuine scope to shape how data, analytics, and AI are used across a growing function.
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