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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 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
✨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 insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight how you've used data to drive business decisions. This will help you stand out and demonstrate your ability to translate data into client-ready insights.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions about data analysis and client engagement. We recommend using the STAR method to structure your responses effectively.
✨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, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Distribution Data Analyst - Fund Management
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with Python, SQL, and data warehousing in your application. We want to see how you've used these skills in a business context, so don’t just list them—give us examples of how you’ve delivered tangible outputs.
Translate Data into Insights: Since this role is all about making data client-ready, share specific instances where you've turned complex datasets into clear, actionable insights. We’re looking for that blend of technical know-how and commercial awareness!
Collaborate and Communicate: Emphasise your ability to work with different teams, especially RFP and product teams. We love candidates who can bridge the gap between data and distribution, so tell us about your collaborative experiences and how you’ve engaged with stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
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.