Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data and build insightful reports using Python and SQL.
- Company: Join a leading asset management firm with a remote-first approach.
- Benefits: Enjoy flexible working hours, competitive pay, and growth opportunities.
- Why this job: Make a real difference by driving data-driven decisions in a dynamic environment.
- Qualifications: Proficiency in Python and SQL, with a passion for analytics.
- Other info: Remote role offering a vibrant team culture and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Senior Analytics Engineer (Python, SQL, Asset Management)
Posted 3 days ago
Remote London, England, United Kingdom
Toblerone
Full time
Senior Analytics Engineer - Python & SQL (Remote) employer: Toucanberry Tech
Contact Detail:
Toucanberry Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - Python & SQL (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for analytics roles and practice your answers. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing familiar faces!
We think you need these skills to ace Senior Analytics Engineer - Python & SQL (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your experience with Python and SQL, and don’t forget to mention any relevant projects or achievements that showcase your skills in asset management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Be sure to connect your past experiences with what we’re looking for in a Senior Analytics Engineer.
Showcase Your Analytical Skills: In your application, demonstrate your analytical skills through examples. Whether it’s a project where you used data to drive decisions or a problem you solved using SQL, we want to see how you think!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Toucanberry Tech
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the Senior Analytics Engineer role. Brush up on your knowledge of data manipulation and analytics techniques, and be ready to discuss how you've used these tools in past projects.
✨Understand Asset Management
Since the role involves asset management, do some research on the industry. Familiarise yourself with key concepts and trends, and think about how your skills can contribute to this field. This will show your potential employer that you're genuinely interested and informed.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges or SQL queries beforehand. We recommend using platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with the types of questions you might face.
✨Showcase Your Projects
Have a few projects ready to discuss that highlight your experience with analytics and engineering. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This will help demonstrate your practical experience and analytical mindset.
