At a Glance
- Tasks: Analyse data, support reporting, and develop internal tools in a collaborative team.
- Company: Specialist investment management firm with a focus on innovation and teamwork.
- Benefits: Gain hands-on experience, exposure to various business areas, and career growth opportunities.
- Other info: Equity-focused recruitment process ensuring fairness for all applicants.
- Why this job: Make a real impact while working with data in a dynamic environment.
- Qualifications: Strong degree in a quantitative field and skills in Excel, SQL, and Python.
The predicted salary is between 30000 - 40000 £ per year.
A specialist investment management firm is looking for a Data Analyst to join its London-based team. Managing approximately $4bn in assets, the firm offers a unique opportunity to gain exposure across investments, client relations, and operations within a highly collaborative environment.
Working directly with the Head of Data Analytics, you will support the business through data analysis, reporting, data quality management, and the development of internal tools and processes. You will also contribute to client reporting, presentations, RFPs, DDQs, and operational activities including trade reporting and reconciliations. This is a hands-on role suited to someone who enjoys solving problems, working with data, and taking ownership of a broad range of responsibilities. The successful candidate will gain exposure to all areas of the business, offering a level of responsibility and learning rarely available in larger organisations.
Requirements:
- Strong degree in a quantitative discipline such as Mathematics, Engineering, Physics, Computer Science, Economics, or a related subject
- Strong Excel skills
- Interest and experience in SQL, Python, automation, and data analytics
- Excellent attention to detail and analytical thinking
- Ability to manage a varied workload and work across multiple business functions
- Interest in financial markets and investing
Due to the increased number of applications for this role, we may only respond to candidates whose experience most closely matches the criteria. At our company, we prioritise equity throughout the recruitment process. We are committed to ensuring fairness and equal opportunities for all applicants. If there is anything we can do to make the process more accessible to you, please let us know.
Junior Data Analyst in Slough employer: Leverton Search
As a leading investment management firm based in London, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. With a strong focus on professional development, our Junior Data Analyst role offers unparalleled exposure to various business functions, allowing you to take ownership of impactful projects while working closely with experienced professionals. Join us to be part of a dynamic team where your contributions are valued, and your growth is supported in a fast-paced, rewarding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in Slough
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Leverton Search when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Leverton Search.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Leverton Search.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Leverton Search’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Analyst in Slough
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Leverton Search, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Leverton Search aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Leverton Search
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
