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For Companies At a Glance
- Tasks: Transform data into client-ready insights and support RFP and DDQ responses.
- Company: Leading global asset manager with a focus on innovation.
- Benefits: 12-month FTC, competitive salary, and exposure to institutional client processes.
- Other info: Join a high-performing team and enhance your career in a dynamic environment.
- Why this job: Make an immediate impact in a role that bridges data and client engagement.
- Qualifications: Experience with Python, SQL, and data warehousing; strong analytical skills.
The predicted salary is between 50000 - 60000 £ per year.
A leading global asset manager is seeking a Distribution Data Analyst to join its Client Group function in London. This is not a traditional data role. We’re looking for a commercially minded analyst who can translate data into client-ready insight, supporting high-quality RFP and DDQ responses that directly contribute to winning and retaining institutional business.
The Opportunity
You’ll sit within a high-performing RFP team, acting as the bridge between data and distribution. Rather than focusing purely on backend engineering, this role is about owning how data is used — ensuring it is accurate, accessible, and meaningful in a client-facing context.
What You’ll Be Doing
- Partner with RFP and product teams to deliver quantitative data for RFPs and DDQs
- Translate complex datasets into clear, accurate, client-ready outputs
- Improve how data is sourced, structured, and utilised across workflows
- Collaborate with Technology teams to enhance data access, automation, and reporting
- Identify and resolve data quality issues, ensuring consistency and reliability
- Support the development of a scalable data environment aligned to business needs
- Enable non-technical stakeholders to effectively access and use data
What We’re Looking For
This role requires a blend of technical capability and real-world application.
Core Requirements
- Strong hands-on experience with Python, SQL, and data warehousing (e.g. Snowflake or similar)
- Proven ability to use data in a business-facing context, not just build pipelines
- Experience delivering tangible outputs (e.g. reports, analysis, client materials)
Highly Valued Experience
- Exposure to asset management or financial services
- Understanding of RFP/DDQ processes or client reporting
- Experience working with front-office or product teams
- Familiarity with BI tools (e.g. Tableau, Power BI)
What Sets Strong Candidates Apart
- A front-end mindset – comfortable engaging directly with stakeholders
- Evidence of impact and ownership, not just tools used
- Understanding of how data supports client acquisition and retention
- Ability to translate technical detail into commercial value
Why Apply?
- Work at the intersection of data, product, and distribution
- Gain exposure to institutional client processes
- Play a visible role in revenue-generating activity
- Opportunity to make an immediate impact within a globally recognised investment platform
Distribution Data Analyst - Fund Management in City of London employer: Ramsey Portia
Contact Detail:
Ramsey Portia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Distribution Data Analyst - Fund Management in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in asset management or data roles. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or examples of your work that demonstrate how you've translated data into client-ready insights. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your experience with Python, SQL, and data warehousing. Be ready to explain how you've used these tools to solve real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Distribution Data Analyst - Fund Management in City of London
Some tips for your application 🫡
Show Your Data Savvy: When you're writing your application, make sure to highlight your experience with data. We want to see how you've used Python, SQL, or any data warehousing tools in a way that’s relevant to the role. Don’t just list your skills; tell us how you’ve applied them in real-world scenarios!
Translate Data into Insights: Remember, this role is all about turning complex data into client-ready insights. In your application, give examples of how you've done this before. We’re looking for candidates who can bridge the gap between data and distribution, so show us your ability to communicate effectively!
Tailor Your Application: Make sure your application speaks directly to the job description. Use the same language and keywords we’ve used. This shows us that you understand what we’re looking for and that you’re genuinely interested in the role. Personalise it to stand out from the crowd!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Ramsey Portia
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools mentioned in the job description, like Python and SQL. Be ready to discuss how you've used these tools to create client-ready insights or reports in previous roles.
✨Showcase Your Commercial Mindset
Prepare examples that demonstrate your ability to translate complex datasets into actionable business insights. Think about times when your analysis directly contributed to winning or retaining clients.
✨Understand RFP and DDQ Processes
Brush up on the RFP and DDQ processes, as this role heavily involves them. Being able to speak knowledgeably about how data supports these processes will set you apart from other candidates.
✨Engage with Stakeholders
Practice how you would communicate technical details to non-technical stakeholders. This role requires a front-end mindset, so be prepared to discuss how you’ve successfully collaborated with product teams or clients in the past.