Data Manager

Data Manager

Temporary 40000 - 60000 € / year (est.) Home office (partial)
Randstad Technologies

At a Glance

  • Tasks: Lead data management and transform raw data into strategic insights for a leading UK bank.
  • Company: Join a top UK bank's Data Intelligence & Analytics team in Sheffield/Manchester.
  • Benefits: Competitive daily rate, high-visibility role, and opportunity to shape BI architecture.
  • Other info: 12-month maternity cover with excellent career growth potential.
  • Why this job: Be the go-to expert for data, influencing critical banking programmes and reporting deliverables.
  • Qualifications: Expertise in Microsoft Stack, data architecture, and precision handling of financial data required.

The predicted salary is between 40000 - 60000 € per year.

Looking for a Data Manager in Sheffield/Manchester.

Rate: £545.46 per day

Location: Once a week travel to Sheffield (Leading UK Bank)

Duration: 12 Months

Are you a technical data leader with a knack for transforming raw information into strategic insights? A leading UK bank is seeking a Data Manager to join their Data Intelligence & Analytics team to oversee key enterprise data for Board-level reporting.

The Role

As the subject matter expert for a specific asset class, you will own the end-to-end data lifecycle - from collection and validation to complex transformation. You will be the 'single responsible person' for data that supports critical Banking programmes, including Covid and RLS schemes.

Your Technical Toolkit

  • Microsoft Stack: Expert-level experience with Power BI, PowerQuery, and DAX is essential.
  • Data Architecture: A sound understanding of conceptual, logical, and physical data models.
  • Precision: Proven track record of handling financial data with high precision under strict production schedules.
  • Strategy: Experience with controlled development methodologies and data visualization best practices.

Why Join?

This is a high-visibility role where you will act as the principal expert on data concepts for a growing range of reporting deliverables. While this is a maternity cover, you will be at the heart of the bank's BI architecture development, advising on new tools and the extension of the data warehouse.

Ready to lead the data conversation? Apply today or share your updated CV.

Data Manager employer: Randstad Technologies

Join a leading UK bank as a Data Manager in Sheffield/Manchester, where you will thrive in a dynamic work culture that values innovation and precision. With competitive daily rates and opportunities for professional growth, you will play a pivotal role in shaping the bank's data strategy while enjoying the benefits of a supportive environment that encourages collaboration and development. This position not only offers a chance to lead critical banking programmes but also provides a unique opportunity to influence the future of data intelligence within a prestigious institution.

Randstad Technologies

Contact Detail:

Randstad Technologies Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Manager

Tip Number 1

Network like a pro! Reach out to your connections in the banking and data sectors. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, especially those involving Power BI and DAX. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and understanding of data architecture. Be ready to discuss how you've handled financial data with precision in past roles. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Manager

Data Management
Data Lifecycle Management
Power BI
PowerQuery
DAX
Data Architecture
Conceptual Data Models

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with the Microsoft Stack, especially Power BI, PowerQuery, and DAX. We want to see how your skills align with the role of Data Manager, so don’t be shy about showcasing your technical prowess!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your experience with data lifecycle management and how you've transformed raw data into strategic insights in previous roles.

Showcase Your Precision:Since handling financial data with high precision is key, include specific examples of how you've managed data under strict deadlines. We love seeing quantifiable achievements, so if you’ve improved processes or accuracy, let us know!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on being part of our Data Intelligence & Analytics team!

How to prepare for a job interview at Randstad Technologies

Know Your Data Inside Out

As a Data Manager, you need to demonstrate your expertise in data management. Brush up on the specific asset class you'll be overseeing and be ready to discuss how you've transformed raw data into strategic insights in your previous roles.

Showcase Your Technical Skills

Make sure you're well-versed in the Microsoft Stack, especially Power BI, PowerQuery, and DAX. Prepare examples of how you've used these tools to handle financial data with precision, as this will be crucial for the role.

Understand the Business Context

Familiarise yourself with the bank's key programmes, like Covid and RLS schemes. Being able to connect your data expertise to their business objectives will show that you’re not just a technical whiz but also a strategic thinker.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills and your approach to data lifecycle management. Think of specific scenarios where you had to manage data under strict deadlines and how you ensured accuracy and compliance.