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- Tasks: Design and implement web-based visualisation solutions for client profitability metrics.
- Company: Join Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy flexible working, tailored benefits, and expert coaching.
- Why this job: Make an impact by translating complex data into actionable insights for business decisions.
- Qualifications: 5+ years in advanced visualisation solutions, strong Python and SQL skills required.
- Other info: Collaborative culture with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Corporate Title: Vice President
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will play a pivotal role in implementing and evolving Deutsche Bank’s client strategy data and visualization platform. This involves delivering a high-performance visualization and workflow platform that provides intuitive reports and insights from descriptive and predictive analytics on Deutsche Bank's clients, their performance, and emerging opportunities. You will be instrumental in translating complex data into actionable business intelligence.
Your key responsibilities:
- Design and implement end-to-end web-based visualization solutions for client profitability metrics, supporting both the Corporate Bank and Investment Bank.
- Develop and embed sophisticated analytics visualizations directly into business workflows to enhance decision-making.
- Engineer robust workflows for efficient data capture from end-users, ensuring data integrity and usability.
- Design and maintain scalable data ingestion and processing pipelines using Python (Pandas) and SQL, ensuring data availability for analytics.
- Connect and collaborate with diverse business stakeholders to define and refine reporting requirements, translating them into technical solutions.
Your skills and experience:
- 5+ years of experience delivering advanced web-based visualization solutions, ideally within financial services.
- Strong proficiency in Python (Pandas) for data manipulation and SQL for database interaction.
- Solid understanding of user experience (UX) principles and design best practices for data applications.
- Familiarity with data visualization tools such as Apache Superset or Tableau is a plus.
- Excellent interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and foster collaborative partnerships across teams.
- University degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
How we’ll support you:
- Flexible working to assist you balance your personal priorities.
- Coaching and support from experts in your team.
- A range of flexible benefits that you can tailor to suit your needs.
We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).
About us: Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to have been named The Times Top 50 Employers for Gender Equality 2025 for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Senior Analytics Engineer, Client Strategy Visualization employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer, Client Strategy Visualization
✨Tip Number 1
Network like a pro! Reach out to current employees at Deutsche Bank on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Python, SQL, and data visualisation tools. Practice explaining complex concepts in simple terms – it’s all about making those connections!
✨Tip Number 3
Showcase your problem-solving skills! Be ready to share examples of how you've tackled challenges in previous roles, especially related to data analytics and visualisation. We love hearing about real-world applications!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the latest opportunities there, so keep checking back!
We think you need these skills to ace Senior Analytics Engineer, Client Strategy Visualization
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your experience with web-based visualisation solutions and your proficiency in Python and SQL. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data visualisation and how you can contribute to our client strategy platform. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing real examples of your work and how you've tackled complex data challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. 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 Deutsche Bank
✨Know Your Data Visualisation Tools
Make sure you brush up on your knowledge of data visualisation tools like Apache Superset or Tableau. Be ready to discuss how you've used these tools in past projects, and think about specific examples where your visualisations made a real impact on decision-making.
✨Showcase Your Python and SQL Skills
Since this role requires strong proficiency in Python (Pandas) and SQL, prepare to demonstrate your skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and database interactions to show off your expertise.
✨Understand User Experience Principles
Familiarise yourself with user experience (UX) principles and design best practices for data applications. Be prepared to discuss how you’ve incorporated UX into your previous projects, as this will show your ability to create intuitive and effective visualisation solutions.
✨Communicate Complex Concepts Simply
You’ll need to articulate complex technical concepts to non-technical stakeholders, so practice explaining your past projects in simple terms. Think about how you can convey your ideas clearly and effectively, ensuring everyone understands the value of your work.
