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- Tasks: Design and build analytical tools to support investment teams and enhance decision-making.
- Company: Leading investment manager with a focus on infrastructure and energy sectors.
- Benefits: Competitive salary, performance-based bonuses, and a comprehensive wellbeing package.
- Why this job: Make a real impact on investment decisions while collaborating with industry professionals.
- Qualifications: 3-6 years in data analysis, strong SQL and Python skills, and a proactive mindset.
- Other info: Hybrid working model with excellent career development opportunities.
The predicted salary is between 60000 - 85000 £ per year.
A leading investment manager is seeking to hire a Data Analyst to join its Investment platform as part of continued growth across its UK and European portfolios. With approximately €6bn AUM, the fund invests across a broad range of Infrastructure and Energy verticals. As the platform continues to scale, the firm is strengthening its data and analytics capability to better support investment decision-making and portfolio oversight.
The successful candidate will work closely with investment professionals, building data-driven tools and insights that enhance analysis across new investments and existing assets.
Data & Analytics Development- Design, build, and maintain analytical tools and dashboards to support investment teams
- Develop robust data pipelines to enable scalable analysis
- Ensure data quality, consistency, and integrity across multiple internal and external sources
- Partner closely with investment analysts and associates to support deal analysis and portfolio monitoring
- Translate complex datasets into clear, actionable insights for non-data-fluent stakeholders
- Support ad-hoc analysis for investment committees, portfolio reviews, and strategic initiatives
- Develop reporting frameworks for portfolio performance, risk metrics, governance
- Automate recurring reports to improve efficiency and decision-making
- Continuously refine analytical outputs based on feedback from investment professionals
- Support sector-level analysis across infrastructure and energy verticals
- Assist with market mapping, benchmarking, and screening activities
- Contribute to the development of a data-driven investment culture across the platform
- 3–6 years’ experience in a data analyst, analytics, or quantitative role, ideally supporting investment, finance, or commercial teams
- Strong technical skills in SQL and Python, with experience building analytical tools and workflows
- A solid quantitative background with a clear interest in supporting investment decision-making
- Ability to clearly explain data concepts, insights, and limitations to non-technical stakeholders
- Proactive mindset, intellectual curiosity, and a collaborative approach
- Opportunity to work closely with investment professionals across a diversified infrastructure and energy portfolio
- High-impact role supporting real investment decisions
- Collaborative culture with direct access to senior stakeholders
- Hybrid working model with long-term career development
- Competitive compensation and benefits
- Base Salary: £60,000 – £85,000
- Bonus: Discretionary, performance-based
- Benefits: Full wellbeing and benefits package as standard
We Encourage You to Apply: Even if you do not meet every requirement, we encourage applications from all quantitative backgrounds. Due to high application volumes, only successful candidates will be contacted. If you have not heard back within 5 working days, please assume your application has not been progressed. Details may be retained for future opportunities.
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Data Analyst - Investment Manager (City of London) employer: Flisher + Partners
Contact Detail:
Flisher + Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Investment Manager (City of London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and data analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss how you've used data to drive decisions in past roles. Practice explaining complex data concepts in simple terms – it’s key for impressing non-technical stakeholders.
✨Tip Number 3
Showcase your analytical tools! If you've built dashboards or data pipelines, make sure to highlight these in your conversations. Bring examples to interviews to demonstrate your hands-on experience and how it can benefit their investment teams.
✨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 are proactive about their job search – it shows you’re serious about joining our team!
We think you need these skills to ace Data Analyst - Investment Manager (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data analysis, especially in investment or finance, and showcase your technical skills in SQL and Python. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background aligns with our needs. Be sure to mention any relevant projects or experiences that demonstrate your analytical prowess.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of analytical tools or dashboards you've built, and how they supported decision-making. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It streamlines the process for us and ensures your application gets into the right hands. Plus, it’s super easy!
How to prepare for a job interview at Flisher + Partners
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've built analytical tools or workflows, as this will show your technical prowess and relevance to the role.
✨Understand the Investment Landscape
Familiarise yourself with the infrastructure and energy sectors. Being able to speak knowledgeably about current trends and challenges in these areas will impress the interviewers and demonstrate your genuine interest in the role.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be working with non-technical stakeholders, showcasing your ability to translate data insights into actionable recommendations is crucial.
✨Show Your Collaborative Spirit
Prepare examples of how you've worked closely with teams in the past. Highlighting your proactive mindset and collaborative approach will resonate well, especially since the role involves partnering with investment analysts and associates.
