At a Glance
- Tasks: Join Deutsche Bank as a Data Analyst, focusing on data management and compliance.
- Company: Deutsche Bank is a global banking leader with a strong presence in over 70 countries.
- Benefits: Enjoy a hybrid work model, flexible hours, and a supportive team culture.
- Why this job: Make an impact by improving data quality and operational efficiency in a dynamic environment.
- Qualifications: Experience in data management, knowledge of frameworks like DCAM or DAMA, and strong communication skills required.
- Other info: This role offers a 6-month contract with opportunities for growth and development.
The predicted salary is between 36000 - 60000 £ per year.
AMS is the world's leading provider of Talent Acquisition and Management Services. Our Contingent Workforce Solutions (CWS) service partners with Deutsche Bank to support contingent recruitment processes. We are looking for a Data Analyst for an initial 6 month contract based in the bank's London offices on a hybrid working pattern of 3 days per week in the office and 2 days from home.
Purpose of the role: The Compliance and AFC Data Office is responsible for Data Management covering key functions of AFC, Compliance and Legal. The team supports these functions in establishing & improving Data Management to achieve key business outcomes including effective operation of key controls. The CAFC Data Management team is responsible for implementation of and adherence to DB's Enterprise Data Management Framework: controls, culture and capabilities which in turn drive target outcomes of improved Data Quality, reduction in audit and regulatory findings, stronger more effective controls and improved operational efficiency.
As a member of the Divisional Data Office team, the role holder will support our EDM Programme execution. The EDM programme involves performing a F2B current state documentation uplift & gap assessment against the EDM framework for material data scope, identifying gaps and defining remediation plans. Primarily engaging SMEs in C-AFC, technology and Lines of Business to analyse and document data scope and requirements, lineage, and controls. Bench-marking current state to standards and identifying gaps & defining remediation plans.
Key responsibilities:
- Perform the current state documentation & gap assessment including analysis and documentation of data scope and requirements via asset catalogue in Collibra and obtain relevant certifications.
- Capture and visualisation in Solidatus of data lineage, ensuring alignment to metadata sources, and obtain relevant certifications.
- Analysis and cataloguing of data controls, and assessing coverage against standards and requirements.
- Assessment of control monitoring, exception and DQ issue management.
- Document gaps identified, analyse and support defining remediation plans.
Skills and Qualifications:
- Extensive experience in all aspects of Data Management best practice with in-depth understanding of data risks and controls and how they manifest in a large Financial Services organisation.
- Knowledge of industry standard Data Management Frameworks such as DCAM or DAMA, preferably with qualification.
- Experience executing data management including: Cataloguing data assets for business, technology, and governance, ideally using Collibra.
- Documenting and maintaining Data Lineage, ideally using Solidatus, with the ability to understand lineage, data risks and controls to present to business colleagues.
- Documenting and assessing data controls including design and operating effectiveness & monitoring.
- Excellent written and verbal communication skills (including PowerPoint) with the ability to explain complex concepts to non-technical colleagues.
- Ability to appropriately partner with colleagues across different functions, locations & levels.
- Must be able to work independently as well as part of a team and virtual working groups.
Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs, and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
This client will only accept workers operating via a PAYE engagement model. AMS's payroll service is in partnership with Giant, we have worked with them for many years and have good processes in place to ensure you get the best service. If you are successful in your application for this role, your contract will be via Giant.
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - AMS Deutsche Bank
✨Tip Number 1
Familiarise yourself with the specific Data Management Frameworks mentioned in the job description, such as DCAM or DAMA. Understanding these frameworks will not only help you during interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals already working in data management roles within financial services. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your skills with tools like Collibra and Solidatus, as they are specifically mentioned in the job description. Having hands-on experience or even completing relevant online courses can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous experiences with data lineage and controls in detail. Be ready to explain how you've identified gaps and implemented remediation plans, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Data Analyst - AMS Deutsche Bank
Some tips for your application 🫡
Understand the Role: Before applying, make sure you thoroughly understand the responsibilities and requirements of the Data Analyst position at Deutsche Bank. Tailor your application to highlight relevant experience in data management and compliance.
Highlight Relevant Skills: In your CV and cover letter, emphasise your experience with data management frameworks like DCAM or DAMA, and tools such as Collibra and Solidatus. Provide specific examples of how you've applied these skills in previous roles.
Craft a Strong Cover Letter: Your cover letter should not only express your interest in the role but also demonstrate your understanding of the Compliance and AFC Data Office's objectives. Mention how your background aligns with their goals for improved data quality and operational efficiency.
Proofread Your Application: Ensure that your application is free from grammatical errors and typos. A well-written application reflects your attention to detail, which is crucial for a Data Analyst role. Consider asking a friend or colleague to review it before submission.
How to prepare for a job interview at Jobs via eFinancialCareers
✨Understand Data Management Frameworks
Familiarise yourself with industry-standard Data Management Frameworks like DCAM or DAMA. Be prepared to discuss how these frameworks apply to the role and demonstrate your understanding of data risks and controls.
✨Showcase Your Technical Skills
Highlight your experience with tools like Collibra for cataloguing data assets and Solidatus for documenting data lineage. Be ready to provide examples of how you've used these tools in previous roles to improve data management processes.
✨Communicate Clearly
Since the role involves explaining complex concepts to non-technical colleagues, practice articulating your thoughts clearly and concisely. Use simple language to explain technical details and ensure you can adapt your communication style to your audience.
✨Demonstrate Team Collaboration
Emphasise your ability to work independently as well as part of a team. Share examples of how you've successfully partnered with colleagues across different functions and locations, showcasing your adaptability and teamwork skills.