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- Tasks: Lead the design and build of front-end analytics using Microsoft Fabric and Power BI.
- Company: Join a forward-thinking client focused on data-driven decision making.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for skill development.
- Why this job: Transform business questions into impactful dashboards and reusable models.
- Qualifications: Strong skills in Power BI, DAX, and semantic-model design required.
- Other info: Ideal for candidates in the Central Belt of Scotland seeking career growth.
The predicted salary is between 36000 - 60000 £ per year.
My client are hiring for an Analytics Engineer to lead the design and build of front-end analytics using Microsoft Fabric and Power BI. Turning business questions into performant dashboards and reusable semantic models that scale across the organisation. This role will be Inside IR35, and so candidates from ONLY the Central Belt of Scotland will be considered.
Responsibilities:
- Own the delivery of Power BI dashboards and reports from requirements to release.
- Build certified datasets and semantic models that standardise metrics and reduce duplication.
- Apply DAX/Power Query, optimise performance and manage deployment across environments.
- Follow company standards for governance, documentation and secure data use.
What our client are looking for:
- Strong Power BI and DAX, with proven semantic-model design skills.
- Confident DQL/T-SQL; experience with Fabric datasets/dataflows Gen2.
- Nice to have: Exposure to Python/PySpark, Azure Data Factory/Synapse and data catalogues (purview/Datahub).
Analytics Engineer in Broughton employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in Broughton
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. 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 semantic models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on DAX and Power Query. Be ready to discuss how you've optimised performance in past projects. Confidence in your technical skills can really impress hiring managers!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills, so take advantage of that and get your application in. Let's land that job together!
We think you need these skills to ace Analytics Engineer in Broughton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and DAX. We want to see how you've tackled similar projects, so don’t hold back on the details!
Showcase Your Skills: In your cover letter, give us a sneak peek into your semantic-model design skills. Share specific examples of dashboards you've built and how they’ve made an impact.
Be Clear and Concise: When filling out the application, keep your answers straightforward. We appreciate clarity, so avoid jargon unless it’s relevant to the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role.
How to prepare for a job interview at Experis
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and DAX. Brush up on your skills with Microsoft Fabric and understand how to create efficient semantic models. Being able to discuss specific projects where you've used these tools will show your expertise.
✨Prepare for Technical Questions
Expect questions about DAX, Power Query, and T-SQL. Be ready to explain your thought process when optimising performance or managing deployments. Practising common technical scenarios can help you articulate your experience clearly.
✨Showcase Your Problem-Solving Skills
Think of examples where you turned complex business questions into actionable insights through dashboards. Highlight how you approached the problem, the tools you used, and the impact your solution had on the organisation.
✨Understand Governance and Documentation
Familiarise yourself with best practices for data governance and documentation. Be prepared to discuss how you ensure secure data use and maintain standards in your work. This shows that you take compliance seriously, which is crucial for the role.
