At a Glance
- Tasks: Support data governance by assessing compliance and driving quality controls.
- Company: Deutsche Bank, a leading global financial institution with a commitment to diversity.
- Benefits: Hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Other info: Opportunities for training, development, and volunteering leave.
- Why this job: Join a dynamic team and make an impact in data management and governance.
- Qualifications: Experience in data management and strong analytical skills required.
The predicted salary is between 55000 - 65000 € per year.
The Chief Data Office (CDO) within Technology, Data and Innovation (TDI) is responsible for establishing and enforcing data principles, policies and standards covering data management and all data lifecycle disciplines (data residency & access, records management, archiving, data disposal). The Data Analyst will be part of the CDO Data Governance function. We are searching for a candidate with a good understanding of risks and controls and interest in Data Management.
This role is integral in supporting the function in meeting regulatory expectations, including compliance with the Data Management Policy and Core Data Management Standards as well as supporting key regulatory data remediation programs for the Bank (Enterprise Data Management Key Deliverable).
Your key responsibilities:
- Supports the CDO Data Governance function in assessing divisions compliance with the Core Data Management Standards (CDMS) through the review and assessment of documented evidences.
- Where gaps are identified, support the CDO Data Governance function team by documenting the results, reporting outcomes, tracking the observations to completion and assess its resolution in line with CDMS.
- Supports in driving cross-divisional read across and thematic reviews on CDMS to drive consistency, early identification of potential risks and execute gap assessments within agreed timelines.
- Assist in preparing Senior Management reporting on gap assessment compliance and content validation results globally.
- Supports the implementation of adequate data quality controls within the divisions and helps the delivery of key remediation milestones as part of existing Enterprise Data Management Key Deliverable (KDs) and regulatory initiatives.
- Works inclusively with Divisional Data Leads, 2nd line including Non-Financial Risk Management (NFRM) and other CDO teams to support quality assurance processes as required.
Your skills and experience:
- Demonstrable Experience in Data Management is a pre-requisite preferably in a financial services organization.
- Experience in audit roles, Second Line quality assurance or similar risk and control positions is a benefit preferably on a financial services organization.
- Good analytical skills and ability to oversee/structure complex tasks.
- Good communication skills, both written and verbal, with the ability to translate complex functional and technical content and dependencies into a language which can be understood by the relevant stakeholders.
How we’ll support you:
- Training and development to help you excel in your career.
- 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).
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.
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss.
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, Chief Data Office Data Governance Function in London employer: Deutsche Bank
Deutsche Bank is an exceptional employer, offering a dynamic work environment in London that prioritises employee development and wellbeing. With a commitment to hybrid working, competitive salaries, and a comprehensive benefits package including private healthcare and generous holiday allowances, employees are empowered to thrive both professionally and personally. The culture fosters continuous learning and inclusivity, making it an ideal place for those seeking meaningful career growth in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst, Chief Data Office Data Governance Function in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Deutsche Bank or in the data governance field. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data management knowledge. We should be ready to discuss how we can help meet regulatory expectations and improve data quality controls.
✨Tip Number 3
Showcase our analytical skills during the interview. Be ready to share examples of how we've tackled complex tasks or identified risks in previous roles. This will demonstrate our fit for the Data Analyst position.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining the team at Deutsche Bank.
We think you need these skills to ace Data Analyst, Chief Data Office Data Governance Function 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 skills that align with the job description. We want to see how you can contribute to our CDO Data Governance function!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data governance and how your background makes you a great fit for the team. We love seeing genuine enthusiasm for the role!
Showcase Your Analytical Skills:In your application, be sure to showcase your analytical skills. Provide examples of how you've tackled complex tasks or solved problems in previous roles. This will help us see your potential impact on our data management initiatives.
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 keep track of it. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Deutsche Bank
✨Know Your Data Management Basics
Before heading into the interview, brush up on your understanding of data management principles and standards. Familiarise yourself with the Core Data Management Standards (CDMS) and be ready to discuss how they apply in a financial services context.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical skills by discussing past experiences where you successfully structured complex tasks or identified risks. Use specific examples that highlight your ability to assess compliance and drive improvements in data quality.
✨Communicate Clearly
Practice translating complex technical concepts into simple language. During the interview, focus on how you can effectively communicate with various stakeholders, ensuring they understand the importance of data governance and compliance.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving abilities. Think about potential gaps in data management processes and how you would approach documenting results, tracking observations, and ensuring resolutions align with CDMS.