At a Glance
- Tasks: Transform commercial challenges into actionable data products using analytics and AI.
- Company: Global investment manager focused on innovative sales intelligence.
- Benefits: Hybrid working, strong benefits, and clear career development pathways.
- Other info: Dynamic role with opportunities to influence decision intelligence.
- Why this job: Shape the future of sales teams with cutting-edge data solutions.
- Qualifications: Experience in asset management, SQL, and data warehousing tools.
The predicted salary is between 70000 - 90000 £ per year.
A global investment manager is building a modern sales intelligence capability from the ground up — and needs someone to help develop it. This isn't a dashboard role. It's about turning commercial problems into decision-grade data products: analytics and AI embedded directly into how sales teams prioritise, focus, and win. Power BI is the interface today — AI-assisted insight, automated decision support, and early agent-based workflows are where it's heading.
You'll sit between Sales, Strategy, and Technology, with genuine scope to shape the team's trajectory as it evolves from reporting to decision intelligence.
The role requires:
- Asset management experience, with a real grasp of distribution models, client hierarchies, and sales effectiveness
- Strong SQL and hands-on time in Snowflake and/or Databricks (or another data warehousing tool)
- Power BI built properly — semantic layers, governed datasets, performance-aware design
- End-to-end data/analytics engineering across CRM, flows, sales, product, and marketing data
- Demonstrable AI-enabled or agentic work — Copilot Studio, conversational analytics, AI-assisted insight
- Comfort with ambiguity, and a bias for commercial impact over technical perfection
- Microsoft ecosystem fluency (Power Platform, Azure AI) and ML use cases — forecasting, pipeline-to-flow modelling, opportunity scoring — will set you apart.
The firm offers hybrid working, strong benefits, and clear development pathways.
Distribution Data & Analytics Manager - Fund Management in Slough employer: Ramsey Portia
Join a forward-thinking global investment manager that prioritises innovation and collaboration in the heart of the financial sector. With a strong emphasis on hybrid working, competitive benefits, and clear pathways for professional development, this role offers you the chance to make a significant impact by transforming commercial challenges into actionable insights. Be part of a dynamic culture that values creativity and empowers you to shape the future of sales intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Distribution Data & Analytics Manager - Fund Management in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in asset management or data analytics. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with SQL, Power BI, and any AI projects you've worked on. This is your chance to demonstrate how you can turn commercial problems into decision-grade data products. Make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by understanding the company's sales intelligence goals. Be ready to discuss how your background in distribution models and client hierarchies can help shape their strategy. Practice articulating your thoughts on how data can drive sales effectiveness.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly. Let’s make this happen together!
We think you need these skills to ace Distribution Data & Analytics Manager - Fund Management in Slough
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data and analytics shine through. We want to see how you can turn complex commercial problems into actionable insights, so share examples of your past experiences that highlight this skill.
Tailor Your Application:Make sure to customise your application to reflect the specific requirements of the Distribution Data & Analytics Manager role. We’re looking for someone with asset management experience and a solid grasp of distribution models, so don’t be shy about showcasing your relevant skills and experiences.
Highlight Your Technical Skills:We need someone who’s comfortable with SQL, Power BI, and data warehousing tools like Snowflake or Databricks. Be sure to mention any hands-on experience you have with these technologies in your application, as it’ll help us see how you fit into our tech-savvy team.
Keep It Clear and Concise:While we love a good story, make sure your application is clear and to the point. Use bullet points where necessary and avoid jargon unless it’s relevant. This will help us quickly understand your qualifications and how you can contribute to our evolving sales intelligence capability.
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, especially SQL and Power BI. Brush up on your experience with Snowflake or Databricks, as being able to discuss specific projects where you've used these tools will show your hands-on expertise.
✨Understand the Business Context
This role is all about turning commercial problems into actionable insights. Familiarise yourself with distribution models and client hierarchies in asset management. Be ready to discuss how your analytical skills can directly impact sales effectiveness and decision-making.
✨Showcase Your AI Knowledge
Since the role involves AI-assisted insights, be prepared to talk about any relevant projects you've worked on. Discuss your understanding of AI applications in sales, like forecasting and opportunity scoring, and how they can drive commercial success.
✨Embrace Ambiguity
The job requires comfort with ambiguity, so think of examples from your past where you navigated uncertain situations. Highlight your ability to prioritise commercial impact over technical perfection, as this mindset will resonate well with the interviewers.
