At a Glance
- Tasks: Join a leading fund manager as a Data Analyst, optimising SQL and Python for impactful data solutions.
- Company: Dynamic US private markets fund manager with a focus on innovation.
- Benefits: Enjoy hybrid working, generous holiday, health benefits, and professional development support.
- Other info: Proactive mindset and communication skills are key; financial services experience is a plus.
- Why this job: Shape the future of data analytics in a growing function and make a real impact.
- Qualifications: Strong SQL and Python skills, with experience in data visualisation tools like Power BI or Tableau.
The predicted salary is between 49500 - 60500 £ per year.
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.
- 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.
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.
What's on offer:
- Hybrid working, generous holiday, strong health and wellbeing benefits, paid volunteering, professional development and qualification support, and genuine scope to shape how data, analytics, and AI are used across a growing function.
Data Analyst – Fund Management in London employer: Ramsey Portia
As a global asset manager, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our hybrid working model, generous holiday allowance, and strong health and wellbeing benefits ensure a balanced lifestyle, while our commitment to professional development and family-friendly policies empowers employees to grow and thrive in their careers. Join us in the DACH region to make a meaningful impact in the financial services marketing landscape.
