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For Companies At a Glance
- Tasks: Solve data problems and collaborate with stakeholders to manage data assets.
- Company: Join a leading firm focused on data management and governance.
- Benefits: Enjoy hybrid work options and a dynamic team environment.
- Why this job: Be part of a team driving impactful data solutions in a global context.
- Qualifications: Experience in data analysis, strong communication, and problem-solving skills required.
- Other info: 6-month contract role based in London, inside IR35.
The predicted salary is between 36000 - 60000 £ 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 employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Specialist
✨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 have experience with tools like Collibra, Alteryx, Tableau, or Power BI. This can provide you with insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've resolved data quality issues in the past. Being able to articulate your problem-solving process will showcase your analytical skills and ability to drive results.
✨Tip Number 4
Stay updated on regulatory requirements related to data management. Showing that you are aware of the latest regulations will highlight your commitment to compliance and governance, which is crucial for this role.
We think you need these skills to ace Data Management Specialist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Data Management Specialist. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous experience in business and data analysis, especially where you've managed significant changes to data flows. Use specific examples to demonstrate your analytical and problem-solving skills.
Showcase Communication Skills: Since strong communication skills are essential for this role, ensure that your application reflects your ability to communicate effectively. Use clear and concise language, and consider including examples of successful stakeholder management.
Tailor Your Application: Customise your CV and cover letter for this specific position. Mention any relevant tools or technologies you have experience with, such as Collibra, Alteryx, Tableau, or Power BI, to show that you meet the preferred qualifications.
How to prepare for a job interview at Hays
✨Showcase Your Analytical Skills
As a Data Management Specialist, your analytical and problem-solving skills are crucial. Be prepared to discuss specific examples where you've successfully identified and resolved data issues. Highlight any tools or methodologies you used to achieve these results.
✨Understand the Business Context
Demonstrate your ability to collaborate with business stakeholders by understanding their challenges. Research the company’s data management framework and be ready to discuss how your experience aligns with their needs and objectives.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle ambiguous situations. Prepare to discuss how you would approach a scenario where data quality issues arise, including how you would coordinate discussions across stakeholders to drive resolution.
✨Highlight Your Communication Skills
Strong communication is key in this role. Be ready to provide examples of how you've effectively communicated complex data concepts to non-technical stakeholders. This will showcase your ability to manage relationships and facilitate discussions.
