Data Manager

Data Manager

Full-Time 40000 - 50000 € / year (est.) No home office possible
Randstad Technologies

At a Glance

  • Tasks: Transform raw data into strategic insights for a leading UK bank.
  • Company: Join a top UK bank's Data Intelligence & Analytics team.
  • Benefits: Competitive daily rate, flexible work, and impactful projects.
  • Other info: High-visibility role with opportunities for professional growth.
  • Why this job: Be the go-to expert in data management and drive key banking programmes.
  • Qualifications: Expertise in Microsoft Stack, data architecture, and financial data precision.

The predicted salary is between 40000 - 50000 € 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.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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 opportunities for professional growth and development, you will play a pivotal role in shaping the bank's data strategy while enjoying competitive rates and the chance to work with cutting-edge technology. This position not only offers a chance to make a significant impact but also fosters a collaborative environment that encourages knowledge sharing and career advancement.

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 using 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 data strategies. Be ready to discuss how you've handled financial data and transformed it into insights. Practice common interview questions to boost your confidence!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that CV polished and hit 'apply'!

We think you need these skills to ace Data Manager

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

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the Data Manager role. Highlight your experience with the Microsoft Stack, especially Power BI and DAX, and showcase any relevant projects that demonstrate your data management skills.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've transformed raw data into strategic insights and how you’ve handled financial data with precision.

Showcase Your Technical Skills:Don’t just list your technical skills; explain how you’ve applied them in real-world scenarios. We want to see your understanding of data architecture and your experience with controlled development methodologies.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at Randstad Technologies

Know Your Data Inside Out

As a Data Manager, you’ll need to demonstrate your expertise in data management. Brush up on the specific asset class you'll be working with 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 these initiatives will show that you understand the bigger picture and can contribute meaningfully.

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’ve successfully managed data under tight deadlines and be ready to share those stories.