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- Tasks: Analyse large datasets and develop AI/ML tools to generate actionable insights.
- Company: Deutsche Bank, a leader in finance with a commitment to diversity.
- Benefits: Hybrid working, 30 days holiday, and a competitive salary.
- Other info: Embrace a culture of continuous learning and career growth.
- Why this job: Join a dynamic team and make an impact through data storytelling.
- Qualifications: Experience with SQL, Python, and data visualisation tools like Looker and Tableau.
The predicted salary is between 60000 - 80000 £ per year.
Deutsche Bank is looking for an Assistant Vice President in London specializing in Data Analytics & Insight Generation. The role demands hands-on experience with SQL and Python, alongside skills in data storytelling using tools like Looker and Tableau.
Responsibilities include:
- Analyzing large datasets
- Developing AI/ML tooling
- Supporting business teams with actionable insights
Benefits include hybrid working, 30 days of holiday, and a competitive salary. Join a culture committed to diversity and continuous learning.
Data Analytics & Insights Lead — IB Operations (Hybrid) in London employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics & Insights Lead — IB Operations (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Deutsche Bank on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Python projects. We want to see how you’ve tackled data challenges and created insights that matter.
✨Tip Number 3
Practice your data storytelling! Use tools like Looker and Tableau to create engaging presentations. We need to convey complex data in a way that’s easy to understand, so let’s nail that!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Analytics & Insights Lead — IB Operations (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data storytelling. 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 tell us why you’re passionate about data analytics and how you can contribute to our team. Be specific about your experience with tools like Looker and Tableau.
Showcase Your Data Insights: When applying, think about including examples of how you've turned data into actionable insights in previous roles. We love seeing how you’ve made an impact through your analytical skills!
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 role. Plus, it’s super easy!
How to prepare for a job interview at Deutsche Bank
✨Know Your SQL and Python Inside Out
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 languages, and think about how you can demonstrate your problem-solving abilities with real examples.
✨Master Data Storytelling
Since the role involves data storytelling, practice explaining complex data insights in a simple way. Use tools like Looker and Tableau to create visualisations that you can refer to during the interview, showcasing your ability to turn data into actionable insights.
✨Prepare for AI/ML Discussions
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to data analytics. Be prepared to discuss any relevant experience you have in developing AI/ML tooling and how it can benefit business operations.
✨Show Your Passion for Continuous Learning
Deutsche Bank values a culture of continuous learning, so be ready to talk about how you keep your skills sharp. Share any courses, certifications, or personal projects that demonstrate your commitment to staying updated in the field of data analytics.