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- Tasks: Analyse banking data using SQL and Python to generate actionable insights.
- Company: High-end consultancy firm in the UK with a focus on integrity and collaboration.
- Benefits: Hybrid working arrangements, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the banking sector.
- Qualifications: Strong SQL and Python skills, plus experience in data modelling and BI pipelines.
- Other info: Positive work environment that values collaboration and integrity.
The predicted salary is between 36000 - 60000 £ per year.
A high-end consultancy firm in the UK is seeking a Data Analyst with strong SQL and BigQuery skills, proficient in Python and good business acumen in banking. The role requires the ability to produce actionable insights and offers hybrid working arrangements.
Ideal candidates will also have experience with data modeling and BI pipeline standardization. Join a dynamic team committed to fostering a positive work environment based on integrity and collaboration.
Banking Data Analyst: SQL, Python & Insights (Hybrid London) employer: emagine
Contact Detail:
emagine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Banking Data Analyst: SQL, Python & Insights (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to people in the banking and data analysis sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Python projects, and any insights you've generated. 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 in banking. Think about how you can apply your skills to real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our dynamic team.
We think you need these skills to ace Banking Data Analyst: SQL, Python & Insights (Hybrid London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL, Python, and data modelling skills. We want to see how your experience aligns with the banking sector, so don’t hold back on showcasing relevant projects or insights you've produced.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis in banking and how you can contribute to our dynamic team. Keep it concise but impactful!
Showcase Your Insights: In your application, include examples of actionable insights you've generated from data. We love seeing how you’ve turned numbers into narratives that drive business decisions, especially in a consultancy context.
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 this exciting opportunity in our hybrid London team!
How to prepare for a job interview at emagine
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your proficiency through practical examples or even coding challenges.
✨Understand the Banking Sector
Since this role is in a high-end consultancy firm focused on banking, it’s crucial to have a solid understanding of the industry. Research current trends, challenges, and key players in the banking sector so you can speak confidently about how your insights can add value.
✨Showcase Your Data Modelling Skills
Be ready to discuss your experience with data modelling and BI pipeline standardization. Prepare to explain how you've approached these tasks in previous roles and the impact your work had on decision-making processes within the business.
✨Emphasise Collaboration and Integrity
This company values a positive work environment based on integrity and collaboration. Think of examples from your past experiences where you’ve worked effectively in a team, resolved conflicts, or contributed to a positive workplace culture. This will show that you align with their values.
