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- Tasks: Lead the design of high-performance semantic models and mentor fellow engineers.
- Company: A top analytics consultancy driving a data-driven culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape decision-making processes and enable AI-assisted analytics in a dynamic environment.
- Qualifications: Strong experience with Microsoft Fabric and Power BI, plus excellent communication skills.
- Other info: Join a collaborative team focused on innovation and impactful analytics.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics consultancy is seeking a Senior Analytics Engineer to enhance data-driven culture. Responsibilities include leading the design of high-performance semantic models and mentoring engineers. Ideal candidates will have strong experience with Microsoft Fabric and Power BI, along with excellent communication skills from C-Suite to analysts. You will be key in shaping decision-making processes and enabling AI-assisted analytics within the organization.
Fabric Analytics Engineer: Semantic Models & BI employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Analytics Engineer: Semantic Models & BI
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics space, especially those who work with Microsoft Fabric and Power BI. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your semantic models and any BI projects you've led. This is your chance to shine and demonstrate your expertise beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to convey complex ideas clearly, so practice explaining your past projects as if you were talking to C-Suite executives.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your enthusiasm for joining our team.
We think you need these skills to ace Fabric Analytics Engineer: Semantic Models & BI
Some tips for your application 🫡
Showcase Your Skills: Make sure to highlight your experience with Microsoft Fabric and Power BI in your application. We want to see how your skills align with the role, so don’t hold back on sharing specific projects or achievements!
Tailor Your Application: Take a moment to customise your CV and cover letter for this position. We love seeing candidates who take the time to connect their experiences to the responsibilities listed in the job description.
Communicate Clearly: Since excellent communication is key for this role, ensure your written application reflects that. Use clear, concise language and structure your thoughts logically to demonstrate your ability to communicate effectively.
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’s super easy!
How to prepare for a job interview at Experis UK
✨Know Your Tools Inside Out
Make sure you’re well-versed in Microsoft Fabric and Power BI. Brush up on the latest features and best practices, as you might be asked to discuss how you’ve used these tools in past projects. Being able to share specific examples will show your expertise.
✨Showcase Your Communication Skills
Since the role involves liaising with everyone from C-Suite executives to analysts, practice articulating complex concepts in simple terms. Prepare to demonstrate how you've effectively communicated data insights in previous roles, as this will be crucial for the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to lead design processes. Think of scenarios where you’ve had to create semantic models or mentor others, and be ready to explain your thought process and the outcomes.
✨Understand the Company’s Data Culture
Research the consultancy's approach to data-driven decision-making and AI-assisted analytics. Tailor your responses to align with their values and goals, showing that you’re not just a fit for the role but also for their company culture.
