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For Companies At a Glance
- 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 comprehensive wellbeing package.
- Why this job: Join a collaborative team and make a real impact in investment analysis.
- Qualifications: 3-6 years in data analysis, strong SQL and Python skills required.
- Other info: Hybrid working model with opportunities for career growth.
The predicted salary is between 36000 - 60000 £ 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.
- Location: London (Hybrid – minimum 2 days per week in the office)
- Contract: Full Time, Permanent
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
Investment Team Support
- 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
Reporting & Insights
- Automate recurring reports to improve efficiency and decision-making
- Continuously refine analytical outputs based on feedback from investment professionals
Sector & Market Data
- 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
What You’ll Bring
- 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
Why Join
- Opportunity to work closely with investment professionals across a diversified infrastructure and energy portfolio
- Collaborative culture with direct access to senior stakeholders
- Hybrid working model with long-term career development
- Competitive compensation and benefits
Compensation
- 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.
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 a lead on your dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. Be ready to showcase your analytical tools and workflows. Practice explaining complex data concepts in simple terms – it’s all about making it relatable!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Use our website to find roles that excite you, and tailor your approach to each one. Show them why you’re the perfect fit!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. Share any additional insights or thoughts you had post-interview to show your enthusiasm and commitment to the role.
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. Don’t forget to mention your proactive mindset and collaborative approach – we love that!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's building analytical tools or automating reports, we want to see examples of your work that demonstrate your skills and impact in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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.
