At a Glance
- Tasks: Join a dynamic team to enhance data capabilities and drive strategic projects.
- Company: Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days' holiday, and flexible benefits.
- Why this job: Make a real impact on data strategy in a collaborative environment.
- Qualifications: 6+ years in banking, strong data analysis skills, and experience with data management tools.
- Other info: Continuous learning culture with coaching support and excellent career progression opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: London
Corporate Title: Assistant Vice President
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 join the RFT DDO in GSA and will be part of the team responsible for the data strategy across these business domains. You will focus on management of change-the-bank activities to improve our data capabilities to meet recently revised regulatory and internal policies and standards. This is an exciting opportunity to collaborate with various groups who actively originate and consume data, including business lines, infrastructure functions and large-scale change programmes.
What we’ll offer you:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory pension.
- 30 days' holiday plus bank holidays, with the option to purchase additional days.
- Life Assurance and Private Healthcare for you and your family.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
- The opportunity to support a wide ranging CSR programme + 2 days' volunteering leave per year.
Your key responsibilities:
- Contribute to several data modelling and strategy projects including related governance and Key Performance Indicators (KPI's).
- Support relevant change the bank and run the bank data management priorities in partnership with Divisional & Regional Stakeholders.
- Monitor data management related regulatory changes and gap analysis to Deutsche Bank processes.
- Drive implementation of Data Quality Control Framework to ensure completeness / accuracy / timeliness for the RFT mandated scope of data, ensuring compliance with Strategic Data KPIs.
- Identify most critical and strategic data to be brought under governance and facilitate right sourcing via strategic platforms.
- Support relationships with all relevant internal and external stakeholder groups, representing the RFT data strategy and DDO function.
Your skills and experience:
- 6+ years of experience in Banking, ideally data-management related roles.
- Experience contributing to complex change programmes (ideally cross-divisional and cross-location).
- Data analysis & modelling skill: ability to investigate large sets of data to identify and document critical attributes used in the production of key metrics and reports from final point of calculation / reporting to originating applications.
- Some experience in the usage of industry standard data management tools such as Collibra and Solidatus, along with Python / SQL coding skills.
- Demonstrable experience in translating Core Data Standards into practical implementation.
- Excellent interpersonal and communication skills with the ability to explain complex requirements in an easily understandable and effective way.
How we’ll support you:
- Coaching and support from experts in your team.
- A culture of continuous learning to aid progression.
- 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 be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers. 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.
Data Analyst, Group Strategic Analytics (GSA) Divisional Data Office (DDO) - Risk, Finance and Treas in London employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Group Strategic Analytics (GSA) Divisional Data Office (DDO) - Risk, Finance and Treas in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Deutsche Bank on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into the company’s data strategy and recent projects. Show us that you’re not just another candidate, but someone who’s genuinely interested in how we manage data across Risk, Finance, and Treasury.
✨Tip Number 3
Practice your data analysis skills with real-world scenarios. We love candidates who can demonstrate their ability to tackle complex data challenges, so be ready to showcase your problem-solving prowess during interviews.
✨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, it shows us you’re serious about joining our team.
We think you need these skills to ace Data Analyst, Group Strategic Analytics (GSA) Divisional Data Office (DDO) - Risk, Finance and Treas in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience in data management and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Skills: Don’t forget to mention your technical skills, especially in Python, SQL, and any data management tools like Collibra. We’re looking for someone who can dive into data analysis, so let us know what you bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Deutsche Bank
✨Know Your Data
As a Data Analyst, it's crucial to have a solid understanding of data management principles. Brush up on your knowledge of data modelling and governance frameworks, especially those relevant to the banking sector. Be prepared to discuss how you've applied these concepts in previous roles.
✨Showcase Your Technical Skills
Make sure to highlight your experience with industry-standard tools like Collibra and Solidatus, as well as your coding skills in Python and SQL. Bring examples of how you've used these tools to solve complex data issues or improve data quality in past projects.
✨Understand Regulatory Changes
Familiarise yourself with recent regulatory changes affecting data management in banking. Be ready to discuss how you would approach gap analysis and ensure compliance with new standards. This shows that you're proactive and aware of the industry's evolving landscape.
✨Communicate Effectively
Strong interpersonal skills are key for this role. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with various stakeholders. Think of examples where you've successfully communicated technical information to non-technical audiences.