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- Tasks: Support banking analytics and cloud migration by implementing data models and producing insights.
- Company: Leading financial services consultancy in the UK with a focus on innovation.
- Benefits: Competitive pay, flexible working options, and opportunities for skill development.
- Why this job: Join a dynamic team and make an impact in the financial sector with your data skills.
- Qualifications: Strong SQL skills, experience with Hadoop, and knowledge of AWS cloud platforms.
- Other info: Fixed-term contract with potential for career advancement in a fast-paced environment.
The predicted salary is between 40000 - 50000 £ per year.
A financial services consultancy in the UK is looking for experienced Data Analysts to support a migration project. The role focuses on analytics and data model implementation within banking systems.
Candidates must have strong SQL expertise, hands-on experience with Hadoop, and practical knowledge of cloud platforms like AWS.
The position involves collaborating with IT teams, producing insights from data, and developing reports using tools such as Power BI.
This is a fixed-term contract role expected to deliver high-quality results on tight timelines.
Data Analyst for Banking Analytics & AWS Cloud Migration in Milton Keynes employer: TalentHawk
Contact Detail:
TalentHawk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst for Banking Analytics & AWS Cloud Migration in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and tech sectors. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, data models, and any reports you've developed using Power BI. We want to see your hands-on experience shine through!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of AWS and Hadoop, and be ready to discuss how you’ve used these tools in past projects. We’re looking for candidates who can hit the ground running.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see how you can contribute to our migration project and help us deliver top-notch results.
We think you need these skills to ace Data Analyst for Banking Analytics & AWS Cloud Migration in Milton Keynes
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, especially in banking analytics. Don't just say you know it; give us examples of how you've made data work for you!
Talk About Your Cloud Experience: If you've got hands-on experience with AWS or any cloud platforms, let us know! Share specific projects where you’ve implemented cloud solutions, as this is a key part of the role. We love seeing practical knowledge in action.
Collaboration is Key: This role involves working closely with IT teams, so mention any collaborative projects you've been part of. We want to hear about how you’ve worked with others to produce insights and develop reports. Teamwork makes the dream work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at TalentHawk
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to answer technical questions and possibly even solve problems on the spot. Practising common SQL queries and understanding how they apply to banking analytics will give you a solid edge.
✨Showcase Your Cloud Knowledge
Since this role involves AWS cloud migration, it’s crucial to demonstrate your familiarity with cloud platforms. Be ready to discuss your hands-on experience with AWS and how you've used it in past projects. Highlight any specific tools or services you've worked with that are relevant to data analytics.
✨Prepare for Data Modelling Questions
Expect questions about data model implementation within banking systems. Brush up on your knowledge of data modelling concepts and be prepared to discuss how you've applied them in previous roles. Real-world examples will help illustrate your expertise.
✨Bring Your Reporting Skills to the Forefront
As the role involves developing reports using tools like Power BI, be ready to showcase your reporting skills. Prepare a portfolio of your previous work if possible, and be ready to discuss how you’ve turned data insights into actionable reports that drive decision-making.