Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to optimise operations and drive automation in a leading fintech company.
- Company: Join a top fintech firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on operations while collaborating with senior leadership.
- Qualifications: 1-3 years of experience in SQL and Python with strong analytical skills.
- Other info: Fast-paced environment with a supportive and collaborative team culture.
The predicted salary is between 36000 - 60000 £ per year.
A leading fintech company in Greater London is seeking a Data Operations Analyst to optimize operations using data science and automation. You will analyze demand drivers, build KPI frameworks, and work closely with senior leadership.
The ideal candidate has 1-3 years of experience in SQL and Python, with a strong analytical mindset. This role offers you the chance to significantly impact the company's operations while working in a fast-paced environment with a collaborative team.
Operations Data Analyst — Special Projects & AI Automation employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Data Analyst — Special Projects & AI Automation
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in data operations. 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 SQL and Python projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. We recommend using real-world scenarios to demonstrate your analytical mindset and problem-solving skills.
✨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 their job search.
We think you need these skills to ace Operations Data Analyst — Special Projects & AI Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects you've worked on. We want to see how your skills align with the role of Operations Data Analyst!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and automation. Share specific examples of how you've optimised operations in the past – we love a good story!
Show Off Your Analytical Mindset: In your application, demonstrate your analytical skills by discussing how you've approached problem-solving in previous roles. We’re looking for candidates who can think critically and make data-driven decisions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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 analyse data or automate processes. This will show that you not only have the technical skills but also the practical experience to back them up.
✨Understand the Business
Research the fintech company and its operations. Familiarise yourself with their products, services, and market position. Being able to discuss how your analytical skills can optimise their operations will demonstrate your genuine interest in the role and the company.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly and logically. This will help you showcase your analytical mindset and problem-solving abilities, which are crucial for this role.
✨Show Your Collaborative Spirit
Since the role involves working closely with senior leadership and a collaborative team, be prepared to share examples of how you've successfully worked in teams. Highlight your communication skills and how you’ve contributed to group projects, as this will resonate well with the interviewers.
