At a Glance
- Tasks: Analyse data, create dashboards, and support investment decisions in a dynamic environment.
- Company: Growing Investment Management firm in London with a hybrid work model.
- Benefits: Competitive salary up to £60,000, great benefits, and bonus opportunities.
- Other info: Exciting career growth potential in a supportive and innovative workplace.
- Why this job: Join a fast-paced team and make impactful contributions to investment strategies.
- Qualifications: Up to 3 years' experience in data analysis and strong SQL skills required.
The predicted salary is between 60000 - 60000 £ per year.
05th August, 2026Data Analyst, Investment Management firm, London, Hybrid, up to 60,000We are seeking a highly motivated and commercially minded Data Analyst to join a growing Investment Management business.
This is an exciting opportunity for a talented analyst with up to three years' experience who is looking to take ownership of critical reporting, analytics, and data management responsibilities within a fast-paced and highly regulated environment.
Reporting into the Head of Data & Analytics, you will play a key role in providing high-quality data insights that support investment decision-making, operational efficiency, regulatory reporting, and strategic business initiatives.
Key Responsibilities Develop, maintain, and enhance business intelligence dashboards and reporting solutions.
Analyse large and complex datasets to identify trends, opportunities, and risks.
Deliver accurate and timely management information to support strategic decision-making.
Collaborate with investment teams to provide analysis on portfolio, client, and business performance data.
Own and maintain key reporting processes, ensuring data accuracy and integrity.
Work closely with stakeholders to gather requirements and translate business needs into analytical solutions.
Support regulatory, operational, and client reporting activities.
Identify opportunities to automate manual reporting processes and improve efficiency.
Assist in developing and implementing data governance and data quality frameworks.
Present findings and recommendations to senior management in a clear and concise manner.
Support ongoing data transformation and initiatives across the business.
Skills & Experience Essential Up to 3 years' experience in a Data Analyst, Business Analyst, or similar analytical role.
Advanced SQL skills with experience querying and manipulating large datasets.
Strong experience using Power BI, Tableau, or comparable visualisation tools.
Advanced Microsoft Excel skills.
Proven ability to produce meaningful insights from complex datasets.
Excellent communication and stakeholder management skills.
Strong attention to detail and commitment to data quality.
Ability to manage multiple priorities and work independently.
Degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative discipline.
This is an exciting opportunity for someone looking to build their career in a growing firm.
They are looking to offer the successful candidate up to 60,000, with great benefits and bonus.
IND1
Data Analyst employer: Trace Recruitment
As a rapidly scaling fin-tech and payments platform based in the heart of the City of London, we offer an exceptional opportunity for our Finance Director to not only lead financial strategy but also to play a pivotal role in shaping the future of a market-leading business. Our dynamic work culture fosters innovation and collaboration, while our commitment to employee growth ensures that you will have the resources and support needed to advance your career towards a CFO position. With competitive compensation, including bonuses and equity, and the chance to work closely with the CEO and Board, this is a unique opportunity to make a significant impact in a thriving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 Trace Recruitment!
✨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 Trace Recruitment.
✨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 Trace Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Trace Recruitment, 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
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 Trace Recruitment, 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 Trace Recruitment. 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 Trace Recruitment
✨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 Trace Recruitment!
✨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.
