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- Tasks: Drive value using Power BI and Azure technologies while collaborating with stakeholders.
- Company: Leading IT provider with a vibrant, collaborative work culture.
- Benefits: Competitive salary, personal growth opportunities, and a supportive environment.
- Why this job: Make an impact with your analytics skills in a dynamic tech landscape.
- Qualifications: 5+ years of experience in Power BI and Azure analytics.
- Other info: Great opportunity for career advancement in a thriving industry.
The predicted salary is between 60000 - 84000 £ per year.
A leading IT provider is seeking a Power BI Specialist located in the United Kingdom, Scotland. In this role, you will leverage your 5+ years of experience to drive value through Microsoft’s Analytics stack, including Power BI and Azure technologies.
Responsibilities include:
- Collaborating with stakeholders
- Modeling data
- Deploying dashboards
The company offers competitive compensation ranging from $80,455 to $105,598 per year, along with a vibrant work culture emphasizing collaboration and personal growth.
Power BI & Azure Analytics Specialist employer: Long View Systems
Contact Detail:
Long View Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI & Azure Analytics Specialist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Power BI and Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Power BI dashboards and Azure projects. This visual evidence of your expertise can really set you apart during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common questions related to Power BI and Azure. We recommend practising your answers with a friend or in front of a mirror 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 noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Power BI & Azure Analytics Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and Azure technologies. We want to see how you've driven value in previous roles, so don’t hold back on those achievements!
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 and how your skills align with our vibrant work culture. We love a bit of personality!
Showcase Your Collaboration Skills: Since this role involves working closely with stakeholders, be sure to mention any relevant experiences where you’ve successfully collaborated on projects. We value teamwork just as much as technical skills!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Long View Systems
✨Know Your Power BI Inside Out
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss specific projects where you've used Power BI to drive insights and value. Prepare to showcase your understanding of data modelling and dashboard deployment.
✨Familiarise Yourself with Azure Technologies
Since this role involves Azure Analytics, it’s crucial to have a solid grasp of Azure services. Review how you've integrated Azure with Power BI in past projects and be prepared to discuss the benefits of using these technologies together.
✨Engage with Stakeholders
Collaboration is key in this role, so think about examples where you've successfully worked with stakeholders. Be ready to share how you’ve gathered requirements, managed expectations, and delivered results that align with business goals.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them using analytics. Highlight your analytical thinking and how it has led to actionable insights, demonstrating your ability to add value to the company.
