At a Glance
- Tasks: Create impactful data models and reports using BigQuery and Python.
- Company: Prestigious consulting firm in London with a focus on innovation.
- Benefits: Competitive daily rate and hybrid work flexibility.
- Why this job: Join a dynamic team and shape the future of banking data.
- Qualifications: Expertise in BigQuery, Python, and strong analytical skills.
- Other info: Exciting opportunity for career growth in a cutting-edge sector.
The predicted salary is between 43200 - 72000 £ per year.
A high-end consulting firm in London is seeking a skilled Data Modeler to join the Innovation Banking sector. You will deliver clear and actionable reports utilizing BigQuery and Python, ensuring that data outputs from analysts are industrialized into structured formats.
The ideal candidate will possess strong expertise in BigQuery and Python, along with excellent analytical skills and attention to detail. This position offers a competitive daily rate in a hybrid work arrangement.
Banking Data Modeler — BigQuery & Python Expert in London employer: emagine
Contact Detail:
emagine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Banking Data Modeler — BigQuery & Python Expert in London
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and data modelling sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your BigQuery and Python projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling scenarios. We recommend practising how you'd explain your thought process when tackling real-world problems.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace Banking Data Modeler — BigQuery & Python Expert in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BigQuery and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data modelling in the banking sector and how your analytical skills can contribute to our team at StudySmarter.
Showcase Your Attention to Detail: In this role, attention to detail is key. When you submit your application, double-check for any typos or formatting issues. A polished application reflects your professionalism and care for quality.
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’re considered for the position. Plus, it’s super easy!
How to prepare for a job interview at emagine
✨Know Your BigQuery and Python Inside Out
Make sure you brush up on your BigQuery and Python skills before the interview. Be prepared to discuss specific projects where you've used these tools, and think about how you can demonstrate your expertise through practical examples.
✨Showcase Your Analytical Skills
During the interview, highlight your analytical abilities by discussing how you've tackled complex data problems in the past. Use clear examples that illustrate your attention to detail and how you’ve turned raw data into actionable insights.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and querying in BigQuery. We recommend practising common scenarios or problems you might face in the role, so you can confidently showcase your problem-solving skills during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects in the Innovation Banking sector or how they envision the future of data modelling at their firm. This will demonstrate your enthusiasm and engagement.