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- Tasks: Design and build impactful Power BI dashboards to provide valuable insights.
- Company: Leading technology consultancy in the Central Belt of Scotland.
- Benefits: Competitive salary and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Strong skills in Power BI, DAX, and T-SQL; Python or Azure experience is a plus.
- Other info: Local candidates only; role is Inside IR35.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology consultancy is looking for an Analytics Engineer in the Central Belt of Scotland. You will lead the design and build of impactful Power BI analytics dashboards that address business questions and provide insights across the organization.
The ideal candidate will have strong skills in Power BI and DAX, experience with T-SQL, and a nice-to-have background in Python or Azure services. This role is Inside IR35, requiring local candidates only.
Analytics Engineer: Power BI Dashboards & Semantic Models in Edinburgh employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Power BI Dashboards & Semantic Models in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any relevant projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to Power BI, DAX, and T-SQL. Practise explaining your thought process when solving analytics problems – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Analytics Engineer: Power BI Dashboards & Semantic Models in Edinburgh
Some tips for your application 🫡
Show Off Your Power BI Skills: Make sure to highlight your experience with Power BI and DAX in your application. We want to see how you've used these tools to create impactful dashboards that solve real business problems.
T-SQL is Key: Don’t forget to mention your T-SQL experience! We’re looking for someone who can manipulate data effectively, so share examples of how you’ve done this in past projects.
Add a Dash of Python or Azure: If you have any experience with Python or Azure services, be sure to include it! While it's not a must-have, it could give you an edge over other candidates.
Apply Through Our Website: We encourage you to apply through our website for a smoother 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 Experis UK
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI and DAX. Brush up on your skills by creating sample dashboards that showcase your ability to turn data into insights. Be ready to discuss specific projects where you've used these tools effectively.
✨T-SQL Mastery is Key
Since T-SQL is a crucial part of the role, prepare to demonstrate your knowledge. Practice writing queries and be prepared to explain your thought process. You might even want to bring along examples of complex queries you've written in the past.
✨Showcase Your Problem-Solving Skills
Think about how you’ve tackled business questions with analytics in previous roles. Prepare to share specific examples where your insights led to impactful decisions. This will show your potential employer that you can provide real value.
✨Familiarise Yourself with Azure and Python
While not mandatory, having a background in Azure services or Python can set you apart. If you have experience in these areas, be ready to discuss how you’ve used them in conjunction with Power BI to enhance your analytics capabilities.
