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- Tasks: Transform operations using data-driven automation and analytics to enhance efficiency.
- Company: Leading fintech company in Greater London with a supportive work culture.
- Benefits: Competitive compensation and opportunities for professional growth.
- Why this job: Shape the future of fintech while collaborating with senior leadership.
- Qualifications: Experience with SQL, Python, and strong analytical reasoning skills.
- Other info: Join a dynamic team focused on innovation and impact.
The predicted salary is between 28800 - 48000 £ per year.
A leading fintech company in Greater London is seeking a Data Analyst (Operations Science & Strategy) to transform operations through data-driven automation and analytics. In this role, you will collaborate with senior leadership, build analytical models, and deploy solutions that enhance efficiency.
The ideal candidate has experience with SQL and Python, as well as strong analytical reasoning skills. Join our team to help shape the future of fintech while enjoying a supportive work culture and competitive compensation.
Data Analyst, Operations Science & AI Automation employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Operations Science & AI Automation
✨Tip Number 1
Network like a pro! Reach out to people in the fintech industry, especially those working in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical models and projects using SQL and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you would approach real-world problems and be ready to discuss your thought process with confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Data Analyst, Operations Science & AI Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as these are key skills we're looking for. Use specific examples to show how you've used data analytics to drive efficiency in previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about fintech and how your analytical skills can help transform operations. Be sure to mention any relevant projects or achievements.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Include examples of analytical models you've built or solutions you've deployed that made a real impact. We love seeing how you think!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Lendable
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to solve problems or improve processes. This will show that you can hit the ground running.
✨Showcase Your Analytical Mindset
Prepare examples of how you've used data to drive decisions in past roles. Think about times when your analytical reasoning led to significant improvements or insights. This will demonstrate your ability to contribute to operations science effectively.
✨Understand the Company’s Vision
Research the fintech company and its mission. Familiarise yourself with their products and recent developments in the industry. This knowledge will help you align your answers with their goals and show that you're genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the types of projects you'll be working on, or how they measure success in this role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
