Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own the Gold layer in Medallion Architecture and design Power BI models.
- Company: Global leader in data and analytics with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by delivering insightful analytics using cutting-edge tools.
- Qualifications: Strong background in data analysis, BI, and experience with AI tools.
- Other info: Join a dynamic team and enhance your skills in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in data & analytics is seeking a Data Analyst to take ownership of the Gold layer in Medallion Architecture. The successful candidate will design and maintain Power BI semantic models, ensuring high-quality data for enterprise reporting. You will collaborate with stakeholders to deliver insightful analytics, utilizing tools such as Microsoft Fabric and Python for advanced analytics. This full-time role requires a strong background in data analysis and BI, along with experience in AI-enhanced tools.
Gold-Layer Data Analyst - Power BI & AI-Driven Analytics in London employer: RedRock Resourcing
Contact Detail:
RedRock Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gold-Layer Data Analyst - Power BI & AI-Driven Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Power BI and AI-driven analytics. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI projects and any AI-driven analytics you've done. This is your chance to shine and demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you would tackle real-world problems using Microsoft Fabric and Python. We want you to be ready to impress with your practical knowledge!
✨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 take that extra step to connect directly with us.
We think you need these skills to ace Gold-Layer Data Analyst - Power BI & AI-Driven Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and any AI-driven analytics tools. We want to see how your skills align with the Gold layer in Medallion Architecture, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. We love seeing enthusiasm for the role and the company, so let your personality come through.
Showcase Your Analytical Skills: In your application, include specific examples of how you've used data analysis to drive insights. Whether it's through Microsoft Fabric or Python, we want to know how you've tackled challenges and delivered results in past roles.
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 the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at RedRock Resourcing
✨Know Your Data Tools
Make sure you brush up on your knowledge of Power BI, Microsoft Fabric, and Python. Be ready to discuss how you've used these tools in past projects, as well as any AI-driven analytics you've implemented. This will show that you're not just familiar with the tools but can also leverage them effectively.
✨Understand Medallion Architecture
Familiarise yourself with the Gold layer in Medallion Architecture. Be prepared to explain its significance and how it fits into the overall data strategy. This shows that you’re not only technically savvy but also understand the bigger picture of data management.
✨Prepare for Stakeholder Collaboration
Think about examples where you've successfully collaborated with stakeholders to deliver insights. Be ready to discuss how you gather requirements, manage expectations, and ensure that your analytics meet their needs. This demonstrates your ability to communicate and work effectively within a team.
✨Showcase Your Analytical Mindset
During the interview, highlight your problem-solving skills and analytical mindset. Prepare to discuss specific challenges you've faced in data analysis and how you overcame them. This will help the interviewers see that you can think critically and adapt to new situations.
