At a Glance
- Tasks: Design and optimise data models for powerful insights and analytics.
- Company: Join a high-growth SaaS leader at the forefront of AI-driven analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team culture that values innovation and continuous improvement.
- Why this job: Shape the future of data modelling and make a real impact in analytics.
- Qualifications: 2+ years in data modelling, strong SQL, and Power BI experience.
The predicted salary is between 45000 - 55000 £ per year.
Are you a data modelling specialist who thrives on turning complex data into powerful, scalable insight? We are working with a high-growth, market-leading SaaS organisation where data is at the heart of everything they do, powering critical insights, intelligent search and pricing capabilities for their global customer base. They are now hiring a Data Modelling Analyst to help build the foundations of their next-generation data platform, combining strong modelling expertise with AI-driven analytics.
What you will be doing:
- Designing semantic models, datasets and metric layers used across BI & AI
- Building clean, governed data structures for self-serve analytics
- Developing and optimising SQL (views, stored procedures)
- Creating Power BI datasets, DAX measures and reports
- Using AI tools to accelerate development and improve efficiency
- Partnering with engineering & business teams to deliver scalable solutions
- Driving improvements in data quality, governance and automation
What we are looking for:
- 2+ years in data modelling / BI / analytics engineering
- Strong SQL + experience with Power BI (DAX, datasets, reporting)
- Solid understanding of star schema & Kimball modelling
- Experience building models for both reporting and advanced analytics
- Exposure to AI tools in analytics workflows
- Experience with automation tools (e.g., Power Automate) and repeatable data processes
- Passion for clean, structured, reliable data
Why this role?
- Work for a true market leader in SaaS
- Be at the forefront of AI-powered analytics
- Shape how data is modelled, accessed and used across the business
- Join a team that values ownership, innovation and continuous improvement
You will thrive if you…
- Love solving complex data problems
- Challenge assumptions (especially AI outputs)
- Enjoy building things that others rely on
- Want to push the boundaries of modern analytics
Please apply directly to find out more.
Data Modelling Analyst in Glasgow employer: Eden Scott
Join a high-growth, market-leading SaaS organisation that places data at the core of its operations, offering you the chance to work with cutting-edge AI-driven analytics. With a culture that champions innovation, ownership, and continuous improvement, you'll have ample opportunities for professional growth while contributing to impactful projects that shape the future of data modelling. Enjoy a collaborative environment where your expertise in SQL and Power BI will be valued, and where you can make a real difference in delivering scalable solutions for a global customer base.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modelling Analyst in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, SQL queries, and Power BI reports. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling questions and scenarios. Practice explaining your thought process when solving complex data problems, as this will demonstrate your analytical skills and passion for clean, structured data.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for working with AI-driven analytics and being part of a market-leading SaaS organisation.
We think you need these skills to ace Data Modelling Analyst in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Modelling Analyst role. Highlight your SQL expertise, Power BI experience, and any work with AI tools. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data modelling and how you've tackled complex data problems in the past. Let us know why you're excited about working with us at StudySmarter and how you can contribute to our mission.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your previous work with data structures, BI reports, or automation tools. We love seeing real examples of your skills in action!
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 shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Eden Scott
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling concepts, especially star schema and Kimball modelling. Be ready to discuss how you've applied these in past projects, as well as any challenges you've faced and how you overcame them.
✨Show Off Your SQL Skills
Since strong SQL skills are a must for this role, prepare to demonstrate your expertise. You might be asked to write queries on the spot, so practice common SQL functions and be ready to explain your thought process while solving problems.
✨Familiarise Yourself with Power BI
Get comfortable with Power BI, especially DAX measures and report creation. Bring examples of reports you've built or datasets you've created, and be prepared to discuss how they added value to your previous teams or projects.
✨Emphasise Your Passion for Clean Data
This role values clean, structured, and reliable data. Share your experiences in improving data quality and governance, and discuss any automation tools you've used, like Power Automate, to streamline processes. Show them you're not just about the numbers, but also about the integrity of the data.
