Data Analyst – Fund Management at Ramsey Portia

Position Data Analyst – Fund Management
Posted 10 Aug 2026
Expired 09 Sep 2026
Company Ramsey Portia
Location London | GB
Job Type Full Time

Job Description:

Latest job information from Ramsey Portia for the position of Data Analyst – Fund Management. If the Data Analyst – Fund Management vacancy in London matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Ramsey Portia for the position of Data Analyst – Fund Management below matches your qualifications.

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

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.

Job Info:

  • Company: Ramsey Portia
  • Position: Data Analyst – Fund Management
  • Work Location: London
  • Country: GB

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Data Analyst – Fund Management at the office London above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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