At a Glance
- Tasks: Join our Product and Client Servicing team to analyse data and drive product development.
- Company: Exciting FinTech start-up in London, focused on innovation and growth.
- Benefits: Enjoy remote work options, competitive salary, bonuses, and a dynamic work environment.
- Why this job: Make a real impact as an early hire in a fast-paced, collaborative culture.
- Qualifications: Degree in STEM or relevant analytical experience; skills in Excel, SQL, Python required.
- Other info: Ideal for those passionate about finance and technology.
The predicted salary is between 39600 - 66000 £ per year.
Business Analyst required by my exciting FinTech client in London. My client is looking for a talented and motivated individual to work in their Product and Client Servicing team. As an early hire, you will have an amazing opportunity to make a significant impact on the business, particularly with its product development. You should enjoy working in a dynamic start-up environment and have excellent analytical skills.
The following skills / experience is required:
- Strong Business Analyst
- Proven Analytical background (Degree in STEM subject or experience in an Analytical role)
- Experience with data storage, processing & analytics frameworks and software packages (Excel, SQL, Python, Business Intelligence Software, etc)
- Experience in the Financial or Technology sectors
- Excellent communication skills
Salary: Up to £55,000 + bonus + package
Location: London (good work from home options available)
If you are interested in this position and meet the above requirements please apply immediately.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst (Data Analytics) - FinTech
✨Tip Number 1
Familiarise yourself with the latest trends in FinTech and data analytics. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the FinTech sector. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations, giving you an edge in your application.
✨Tip Number 3
Brush up on your analytical skills by working on real-world projects or case studies. This hands-on experience will not only enhance your resume but also prepare you for practical questions that may arise during the interview process.
✨Tip Number 4
Prepare specific examples of how you've used data analytics to drive business decisions in previous roles. Being able to articulate your impact clearly will demonstrate your value to the team and align with the company's goals.
We think you need these skills to ace Business Analyst (Data Analytics) - FinTech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and relevant experience in data analytics. Emphasise any projects or roles where you've used tools like SQL, Python, or Business Intelligence Software.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the FinTech industry and your understanding of the company's goals. Mention specific experiences that demonstrate your ability to thrive in a dynamic start-up environment.
Highlight Relevant Skills: In your application, clearly outline your proficiency with data storage and processing frameworks. Provide examples of how you've applied these skills in previous roles or projects.
Showcase Communication Skills: Since excellent communication is key for this role, include examples of how you've effectively communicated complex data insights to non-technical stakeholders in your past experiences.
How to prepare for a job interview at LinkedIn
✨Showcase Your Analytical Skills
As a Business Analyst, your analytical skills are crucial. Be prepared to discuss specific examples from your past experiences where you successfully used data analysis to solve problems or improve processes. Highlight any relevant projects that demonstrate your proficiency with tools like SQL, Python, or Excel.
✨Understand the FinTech Landscape
Familiarise yourself with the current trends and challenges in the FinTech industry. Research the company’s products and services, and be ready to discuss how your skills can contribute to their growth and innovation. This shows your genuine interest in the role and the sector.
✨Prepare for Technical Questions
Expect technical questions related to data analytics frameworks and software packages. Brush up on your knowledge of Business Intelligence Software and be ready to explain how you've used these tools in previous roles. Practising common technical interview questions can help you feel more confident.
✨Demonstrate Strong Communication Skills
Effective communication is key in this role. Prepare to discuss how you’ve communicated complex data insights to non-technical stakeholders in the past. Use clear examples to illustrate your ability to convey information succinctly and effectively, as this will be vital in a client servicing environment.