At a Glance
- Tasks: Join a dynamic team to design and deliver impactful data solutions using SQL and Python.
- Company: Leading US private markets fund manager with a focus on innovation.
- Benefits: Hybrid working, generous holiday, health benefits, and professional development support.
- Other info: Exciting opportunity for growth in a collaborative environment.
- Why this job: Make a real impact in data analytics while shaping the future of the business.
- Qualifications: Strong SQL skills, Python knowledge, and experience with 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 Slough 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst – Fund Management in Slough
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We think you need these skills to ace Data Analyst – Fund Management in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ramsey Portia. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ramsey Portia
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
