At a Glance
- Tasks: Support business-critical systems and develop reporting solutions to enhance operational efficiency.
- Company: A growing FTSE-listed investment management firm in London.
- Benefits: Competitive salary up to £45k, hybrid work model, and a supportive team environment.
- Other info: Join a dynamic team with opportunities for growth and innovation.
- Why this job: Kickstart your data analyst career and solve complex problems with cutting-edge technology.
- Qualifications: Degree in Mathematics, Physics, or Computer Science; analytical skills are a must.
The predicted salary is between 31500 - 38500 £ per year.
Data Analyst, Investment Management Firm, London, up to £45k, Hybrid
A growing FTSE-listed investment management firm are looking for a motivated Data Analyst to join their team and play a key role in supporting business-critical systems, reporting, and automation initiatives.
This is an excellent opportunity for a data-driven professional who enjoys solving complex problems and improving processes through technology.
Working closely with Finance, Operations, and Technology teams, you will be responsible for developing reporting solutions, maintaining data quality, and supporting system enhancements across the business.
This is a great role for a straight graduation keen to start a career as a data analyst or someone who has been doing this role for a year or two and is looking for a new challenge.
Key Responsibilities
- Develop and maintain code-based reports within proprietary business systems.
- Support the maintenance and integrity of finance systems and underlying data.
- Develop BI dashboards and reporting.
- Assist with the implementation and ongoing development of new systems and technologies.
- Identify opportunities to automate manual processes and improve operational efficiency.
- Create and maintain clear documentation of systems, processes, and controls.
Skills & Experience
- Strong analytical and problem-solving skills with a keen attention to detail.
- Degree in Mathematics, Physics or Computer Science is essential
- 1 or 2 experience within a similar role is ideal but not essential
- Experience working with data, reporting, and business intelligence tools.
• Knowledge of one or more of the following
- SQL
- Excel
- Python
- Power BI
- Tableau
- Business Central
- Excellent organisational skills with the ability to manage multiple priorities and meet deadlines.
- A proactive mindset and enthusiasm for improving processes through technology.
They are looking to offer the successful candidate up to £45,000 and you would be joining a great team!
Data Analyst in London employer: Trace | Expert Accountancy & Finance Recruitment
Join a dynamic and growing FTSE-listed investment management firm in London, where you will be part of a collaborative team that values innovation and problem-solving. With a strong focus on employee development, this role offers opportunities for growth and the chance to work with cutting-edge technology in a hybrid work environment. Enjoy a supportive culture that encourages continuous learning and improvement, making it an ideal place for both recent graduates and those looking to advance their careers in data analysis.
Contact Details:
Trace | Expert Accountancy & Finance Recruitment 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 Trace | Expert Accountancy & Finance 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 | Expert Accountancy & Finance 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 | Expert Accountancy & Finance Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Trace | Expert Accountancy & Finance 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 in London
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 | Expert Accountancy & Finance 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 | Expert Accountancy & Finance 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 | Expert Accountancy & Finance 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 | Expert Accountancy & Finance 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.
