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- Tasks: Design and maintain data models for reporting and analytics in a dynamic energy company.
- Company: International energy company focused on innovation and sustainability.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Play a key role in shaping data strategies that drive business decisions.
- Qualifications: Expertise in dimensional modelling, strong SQL skills, and Azure experience.
- Other info: Join a collaborative team dedicated to impactful data solutions.
The predicted salary is between 36000 - 60000 £ per year.
An international energy company is seeking a Data Modeller to design and maintain Gold-layer domain-specific data models for reporting and analytics. The ideal candidate will have expertise in dimensional modelling, strong SQL skills, and experience with analytics-ready models within Azure architectures.
Responsibilities include ensuring model stability and supporting self-service business users. This role is crucial for connecting data engineering and business consumption effectively.
Gold Data Modeller for BI & Self-Service Analytics in Manchester employer: SEFE Energy UK
Contact Detail:
SEFE Energy UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gold Data Modeller for BI & Self-Service Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data modelling or analytics. 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 data models and analytics projects. This is your chance to demonstrate your expertise in dimensional modelling and SQL – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data modelling and Azure architectures. We recommend practising with a friend or using mock interview platforms to build 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 and engaged with our platform.
We think you need these skills to ace Gold Data Modeller for BI & Self-Service Analytics in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with dimensional modelling and SQL skills. We want to see how your background aligns with the Gold-layer domain-specific data models we're looking for!
Showcase Your Projects: Include examples of analytics-ready models you've worked on, especially within Azure architectures. This will help us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure to communicate your skills and experiences without any fluff. We want to get to know the real you!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at SEFE Energy UK
✨Know Your Data Modelling Basics
Brush up on your dimensional modelling concepts and be ready to discuss how you've applied them in past projects. Be prepared to explain your approach to designing Gold-layer domain-specific data models, as this will show your understanding of the role's requirements.
✨Show Off Your SQL Skills
Since strong SQL skills are a must, practice writing complex queries and be ready to demonstrate your problem-solving abilities with data. You might be asked to solve a real-world scenario, so think through how you would approach it using SQL.
✨Familiarise Yourself with Azure Architectures
Make sure you understand how analytics-ready models fit within Azure architectures. Research common tools and services used in Azure for data modelling and analytics, and be ready to discuss how you've leveraged these in your previous roles.
✨Connect with Business Users
This role is all about bridging the gap between data engineering and business consumption. Prepare examples of how you've supported self-service business users in the past, and think about how you can ensure model stability while empowering them to make data-driven decisions.
