Data Analyst - AMS Deutsche Bank

Data Analyst - AMS Deutsche Bank

London Temporary 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Support data management and compliance for Deutsche Bank, focusing on documentation and gap assessments.
  • Company: Join AMS, a leader in Talent Acquisition, partnering with Deutsche Bank globally.
  • Benefits: Enjoy hybrid working, flexible hours, and a supportive team culture.
  • Why this job: Be part of a diverse team driving innovation in data management within a global banking giant.
  • Qualifications: Experience in data management, knowledge of frameworks like DCAM or DAMA, and strong communication skills required.
  • Other info: This role is contract-based, with a PAYE engagement model through Giant.

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.

Data Analyst - AMS Deutsche Bank employer: Jobs via eFinancialCareers

At AMS, we pride ourselves on being an exceptional employer, particularly for the Data Analyst role at Deutsche Bank in London. Our hybrid working model promotes a healthy work-life balance, while our commitment to diversity and inclusion fosters a supportive and innovative work culture. With ample opportunities for professional growth and development, employees are encouraged to reach their full potential in a dynamic environment that values collaboration and excellence.
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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. Having a solid understanding of 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 at Deutsche Bank and may even lead to referrals.

✨Tip Number 3

Brush up on your skills with tools like Collibra and Solidatus, as they are specifically mentioned in the job description. Consider taking online courses or tutorials to enhance your proficiency, which will make you a more attractive candidate.

✨Tip Number 4

Prepare to discuss your experience with data lineage and controls in detail. Be ready to share specific examples of how you've documented and assessed data controls in previous roles, as this will showcase your practical knowledge and problem-solving abilities.

We think you need these skills to ace Data Analyst - AMS Deutsche Bank

Data Management Best Practices
Understanding of Data Risks and Controls
Knowledge of Data Management Frameworks (DCAM, DAMA)
Experience with Collibra for Data Asset Cataloguing
Proficiency in Solidatus for Data Lineage Documentation
Data Control Assessment and Monitoring
Excellent Written and Verbal Communication Skills
Ability to Explain Complex Concepts to Non-Technical Colleagues
Collaboration Across Functions and Locations
Independent and Team Working Skills
Analytical Skills
Attention to Detail
Problem-Solving Skills

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. Familiarise yourself with the key functions of the Compliance and AFC Data Office to tailor your application effectively.

Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive experience in Data Management best practices, particularly in a financial services context. Mention specific frameworks like DCAM or DAMA that you are familiar with, as well as tools like Collibra and Solidatus.

Showcase Communication Skills: Since excellent written and verbal communication skills are crucial for this role, provide examples in your application that demonstrate your ability to explain complex data concepts to non-technical colleagues. This could be through previous projects or presentations.

Tailor Your Application: Make sure to customise your CV and cover letter for this specific role. Use keywords from the job description, such as 'data lineage', 'gap assessment', and 'remediation plans', to show that you are a perfect fit for the position.

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 PowerPoint or other visual aids to help convey your ideas during the interview.

✨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 to achieve common goals.

Data Analyst - AMS Deutsche Bank
Jobs via eFinancialCareers
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