Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a leading private bank as a Data Management Analyst, ensuring data integrity and governance.
- Company: Work with a prestigious private bank known for bespoke financial solutions for high-net-worth clients.
- Benefits: Enjoy a hybrid work model with 2-3 days in the office and a competitive salary.
- Why this job: Be part of a digital transformation journey while enhancing your data management skills in a reputable firm.
- Qualifications: Strong experience in data governance and familiarity with GDPR and data analysis tools required.
- Other info: This is a 12-month fixed-term contract, perfect for gaining valuable industry experience.
The predicted salary is between 43200 - 72000 £ per year.
twentyAI are partnering with a leading private bank that is seeking a talented Data Management Analyst to join their Chief Data Office. This prestigious organisation has a long-standing reputation for delivering bespoke financial solutions to high-net-worth individuals and families. As part of their continued investment in data excellence, they are looking for an experienced professional to help drive their data governance and management initiatives.
The successful candidate will play a pivotal role in ensuring the integrity, security, and usability of data across the bank. Working closely with key internal stakeholders, the Data Management Analyst will implement data governance frameworks, enhance data quality, and support the bank's ongoing digital transformation projects.
Key Responsibilities:
- Develop and implement data governance policies, standards, and processes to ensure compliance with regulatory requirements and internal controls.
- Collaborate with business units to define data quality metrics and ensure ongoing monitoring and reporting.
- Support the creation and maintenance of data dictionaries, metadata repositories, and data catalogs.
- Identify and resolve data quality issues by conducting root cause analysis and implementing remediation plans.
- Assist in data lifecycle management, including classification, retention, and disposal strategies.
- Facilitate data governance forums and provide clear communication to stakeholders on data governance initiatives.
- Act as a subject matter expert on data management best practices and provide training to teams.
- Work with IT and risk teams to ensure data security, privacy, and alignment with GDPR and other data protection regulations.
Requirements:
- Strong experience in data governance, data management, or a similar role, ideally within the financial services or private banking sector.
- Strong knowledge of data governance frameworks (e.g., DAMA-DMBOK) and data quality management principles.
- Familiarity with data privacy regulations such as GDPR, CCPA, or similar.
- Experience with data governance tools (e.g., Collibra, Informatica, Alation) and data analysis tools.
- Proficiency with SQL and data visualization tools such as Power BI or Tableau will be a plus.
- Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences.
Please note, this is a hybrid role with 2-3 days per week expected in the office in the City and is a 12-month FTC.
Data Management Analyst - Private Bank - London/Hybrid - 12-month FTC | London, UK | Hybrid employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Analyst - Private Bank - London/Hybrid - 12-month FTC | London, UK | Hybrid
✨Tip Number 1
Familiarise yourself with the specific data governance frameworks mentioned in the job description, such as DAMA-DMBOK. Understanding these frameworks will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work in data management roles. 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 SQL skills and get comfortable with data visualisation tools like Power BI or Tableau. Being able to showcase your technical abilities in these areas can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with data quality management and how you've resolved data issues in the past. Having concrete examples ready will help you convey your expertise effectively during interviews.
We think you need these skills to ace Data Management Analyst - Private Bank - London/Hybrid - 12-month FTC | London, UK | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data governance and management, particularly within the financial services sector. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of data governance frameworks and your experience with data quality management. Mention specific tools you have used, like Collibra or SQL, to strengthen your application.
Showcase Communication Skills: In your application, emphasise your strong communication and stakeholder management skills. Provide examples of how you've successfully translated technical concepts for non-technical audiences in previous roles.
Highlight Relevant Certifications: If you have any certifications related to data management or governance, such as DAMA-DMBOK, be sure to include them in your application. This can set you apart from other candidates.
How to prepare for a job interview at twentyAI
✨Know Your Data Governance Frameworks
Familiarise yourself with data governance frameworks like DAMA-DMBOK. Be prepared to discuss how these frameworks can be applied in the context of the bank's operations and how they ensure compliance with regulatory requirements.
✨Showcase Your Technical Skills
Highlight your experience with data governance tools such as Collibra or Informatica, and be ready to demonstrate your proficiency in SQL and data visualisation tools like Power BI or Tableau. Practical examples of how you've used these tools will impress your interviewers.
✨Communicate Clearly
Since the role involves translating technical concepts for non-technical stakeholders, practice explaining complex data management ideas in simple terms. This will showcase your communication skills and ability to engage with diverse teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding data quality issues. Prepare to discuss past experiences where you identified and resolved data problems, including the steps you took and the outcomes achieved.
