Data Analyst in London

Data Analyst in London

London Full-Time 31500 - 38500 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Transform complex data into insightful dashboards and automate workflows.
  • Company: Ambitious hedge fund focused on data, automation, and AI.
  • Benefits: Gain exposure to senior stakeholders and develop practical skills.
  • Other info: Opportunity for career growth in a dynamic environment.
  • Why this job: Make a visible impact while learning about finance and technology.
  • Qualifications: Strong numerical skills and enthusiasm for data; Excel experience preferred.

The predicted salary is between 31500 - 38500 £ per year.

  • Junior Data Analyst – Growing Hedge Fund | Data, Automation & AI
  • London
  • The Client

Tempest Vane Partners is working with an ambitious, growing multi-asset hedge fund looking for a Junior Data Analyst to help develop how the business uses data and technology.

As the firm expands, there is considerable scope to improve reporting, automate processes and explore how AI tools can make everyday work more effective.

This is an opportunity to contribute early and see the impact of your work across the business.

The Opportunity

You’ll join a growing technology team, working directly with the COO and learning from an experienced Data Analyst.

Your projects will span investment, performance, operations and compliance, giving you a broad understanding of how a hedge fund operates.

Alongside building dashboards and analysing data, you’ll have scope to develop your use of AI tools to support coding, analysis and process improvement.

You’ll learn to assess their outputs critically and apply them thoughtfully to real business problems.

For someone curious about financial markets and new technology, the appeal is clear: close access to decision-makers, practical mentoring and room to take on more responsibility as the firm grows.

  • What You’ll Do
  • Turn complex datasets into clear dashboards and useful business insights.
  • Improve reporting using Excel, Power BI and, where appropriate, Python.
  • Help replace repetitive manual tasks with more efficient, automated workflows.
  • Explore opportunities to use AI tools, checking outputs carefully before applying them.
  • Work with colleagues across investment, operations and compliance to solve their data challenges.
  • Help strengthen the data foundations supporting the firm’s continued growth.
  • What You’ll Bring
  • Strong numerical skills and an enthusiasm for working with data.
  • Confidence using Excel and an interest in developing your technical skills.
  • Curiosity about AI, automation and their practical applications.
  • Initiative, attention to detail and a willingness to question how processes could work better.
  • Clear communication skills and an appetite to learn about financial markets.

Exposure to Power BI, Python, macros or Power Automate would be useful. Experience in financial services or with trading and portfolio systems would also be advantageous.

Why Join?

This is a chance to build your career within an ambitious hedge fund where your contribution will be visible.

You’ll gain exposure to senior stakeholders, develop practical data and automation skills, and build confidence using AI tools in a professional investment environment.

Data Analyst in London employer: Tempest Vane Partners

Tempest Vane Partners is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among high-calibre professionals. Located in the heart of London, employees benefit from a vibrant city atmosphere while enjoying opportunities for personal and professional growth through cutting-edge projects in cloud-native infrastructure and automation. With a strong emphasis on teamwork and continuous learning, this role provides a meaningful and rewarding experience in a fast-paced investment management environment.

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Contact Details:

Tempest Vane Partners Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tempest Vane Partners!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Tempest Vane Partners.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tempest Vane Partners.

✨Apply Directly through Our Website

When you find a suitable opening like Data Analyst at Tempest Vane Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst in London

Data Analysis
Excel
Power BI
Python
AI Tools
Automation
Dashboard Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Tempest Vane Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tempest Vane Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Tempest Vane Partners

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tempest Vane Partners!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.