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For Companies At a Glance
- Tasks: Connect enterprise data with business intelligence and optimise data structures for reporting.
- Company: Join a forward-thinking organisation focused on data-driven insights.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping how data drives business decisions.
- Qualifications: Experience in data modelling and a passion for analytics.
- Other info: Dynamic role with potential for career advancement in a tech-savvy environment.
The predicted salary is between 36000 - 60000 £ per year.
The Analytics Engineer plays a key role in connecting the enterprise data platform with business intelligence delivery. Operating within the organisation’s analytical data environment, they design and maintain the structures that make curated, high-quality data available for reporting and insight generation. Working between Data Engineering and the Power BI development team, this role helps build and optimise data warehouses, marts, and modelled tables, ensuring the data layer is efficient, reliable, and accessible. They also lead the development and maintenance of the Enterprise Data Catalogue, providing visibility and governance of structured data assets across the organisation. This is a hands‑on technical role, requiring a deep understanding of data modelling, performance optimisation, and modern data engineering practices to enable trusted, scalable, and insight‑ready data.
Responsibilities:
- Data Layer Development
Principal Analytics Engineer employer: II-VI UK, Ltd.
Contact Detail:
II-VI UK, Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Principal Analytics Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects and any Power BI dashboards you've built. 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 your technical knowledge. Be ready to discuss data engineering practices and performance optimisation techniques. We recommend practising common interview questions related to analytics engineering 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 seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data modelling and performance optimisation. We want to see how your skills connect with the role of Principal Analytics Engineer, 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 analytics and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Since this is a hands-on technical role, be sure to mention any specific tools or technologies you’ve worked with, especially around data warehouses and BI tools like Power BI. We’re keen to know what makes you a great fit!
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 II-VI UK, Ltd.
✨Know Your Data Inside Out
Make sure you have a solid grasp of data modelling and performance optimisation techniques. Brush up on your knowledge of data warehouses and marts, as well as the tools used in the analytics space, especially Power BI. Being able to discuss specific projects where you've implemented these concepts will really impress.
✨Showcase Your Hands-On Experience
This role is hands-on, so be prepared to share examples of your technical work. Talk about how you've designed and maintained data structures in previous roles. If you can, bring along a portfolio or examples of your work that demonstrate your skills in building efficient and reliable data layers.
✨Understand the Business Context
It's not just about the tech; understanding how your work impacts the business is crucial. Be ready to discuss how your data solutions have driven insights and decision-making in past roles. This shows that you can bridge the gap between data engineering and business intelligence effectively.
✨Prepare Questions About Governance and Visibility
Since this role involves leading the development of the Enterprise Data Catalogue, think about questions related to data governance and visibility. Ask about their current practices and how they ensure data quality and accessibility. This demonstrates your proactive approach and genuine interest in the role.