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- Tasks: Solve data problems and collaborate with stakeholders to manage data assets.
- Company: Join a leading firm focused on data management and governance in the City of London.
- Benefits: Enjoy hybrid work options and gain valuable experience in a dynamic environment.
- Why this job: Be part of a team that drives impactful data solutions and enhances business operations.
- Qualifications: Experience in data analysis, strong problem-solving skills, and excellent communication abilities required.
- Other info: This is a 6-month contract role inside IR35, perfect for those seeking hands-on experience.
The predicted salary is between 48000 - 72000 £ per year.
6 Month contract London Hybrid Inside IR35
Your role
Are you intellectually curious and good at solving data problems? Do you enjoy collaborating with business stakeholders to understand their challenges? Are you able to work through an ambiguous ask and drive to resolution?
As a data management specialist, you will:
- Collaborate with the business, tech, control functions and subject matter experts to identify, catalogue and manage the IB’s data assets and data flows.
- Plan, develop and execute data management initiatives aligned to our data management framework and policy.
- Coordinate discussions across stakeholders to identify, catalogue and register data issues and help drive the resolution of identified data quality issues.
Your team
The IB Data Management Office (IB DMO) team is part of the IB Chief Data Office (CDO) within the IB Chief Operating Office (COO), and provides leadership across the IB to ensure that data management for the division is: 1) aligned with the policy and strategy of the firm, 2) aligned with regulatory requirements across the globe. The team also monitors the implementation of data governance initiatives. IB DMO work is done in partnership with colleagues across the IB Business, IB technology, Group DMO and the control functions to develop practical and implementable solutions spanning all business areas and front to back functions.
Your expertise
We are looking for strong data management specialist who has relevant experience in one of more of the below:
- Previous experience of business and data analysis, ideally where significant changes to existing information / data flows have taken place.
- Experience managing deadlines, sometimes at short notice, as well as multiple priorities.
- Excellent analytical and problem-solving skills, able to design and implement solutions.
- Strong communication skills, both written and verbal and excellent stakeholder management.
It would be a plus if you have:
- Strong understanding of application data governance and data management including tooling such as Collibra.
- Previous experience working with data analysis tools such as Alteryx, Tableau, Power BI etc.
Data Management Specialist (City Of London) employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Specialist (City Of London)
✨Tip Number 1
Familiarise yourself with data management frameworks and policies relevant to the role. Understanding these concepts will help you engage in meaningful conversations with stakeholders and demonstrate your knowledge during interviews.
✨Tip Number 2
Network with professionals in the data management field, especially those who work in similar roles. Attend industry events or webinars to connect with potential colleagues and learn about their experiences, which can provide insights into the company culture and expectations.
✨Tip Number 3
Brush up on your analytical and problem-solving skills by working on real-world data scenarios. Consider using tools like Alteryx or Tableau to create sample projects that showcase your ability to manage and analyse data effectively.
✨Tip Number 4
Prepare for stakeholder management discussions by practising how to communicate complex data issues clearly and concisely. Role-playing these conversations with a friend can help you articulate your thoughts and build confidence for the interview.
We think you need these skills to ace Data Management Specialist (City Of London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Data Management Specialist. Familiarise yourself with data management frameworks and tools mentioned in the job description.
Tailor Your CV: Highlight your relevant experience in data management and analysis. Emphasise your problem-solving skills and any experience with data governance tools like Collibra or analysis tools such as Alteryx, Tableau, or Power BI.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the role and how your skills align with the company's needs. Mention specific examples of how you've successfully managed data issues or collaborated with stakeholders in the past.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your communication is clear and professional, as strong written skills are essential for this role.
How to prepare for a job interview at Hays
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've successfully solved data problems. Highlight your analytical and problem-solving skills, as these are crucial for the role of a Data Management Specialist.
✨Understand the Business Context
Familiarise yourself with the company's data management framework and policies. Being able to articulate how your experience aligns with their needs will demonstrate your understanding of the business context.
✨Communicate Effectively
Practice your communication skills, both written and verbal. Be ready to explain complex data issues in simple terms, as you'll need to collaborate with various stakeholders who may not have a technical background.
✨Prepare for Stakeholder Scenarios
Think of scenarios where you've had to manage multiple priorities or tight deadlines. Be prepared to discuss how you coordinated discussions across stakeholders to resolve data quality issues, as this is a key part of the role.
