At a Glance
- Tasks: Design and optimise data models for powerful insights using AI-driven analytics.
- Company: Join a leading SaaS company transforming data into decisions.
- Benefits: Competitive salary, hybrid work, and opportunities for innovation.
- Other info: Join a team that values ownership, innovation, and continuous improvement.
- Why this job: Be at the forefront of AI-powered analytics and shape data usage.
- Qualifications: 2+ years in data modelling with strong SQL and Power BI skills.
The predicted salary is between 40000 - 50000 £ per year.
Join a market-leading SaaS business transforming how data drives decisions. 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 BI Data Modeller to help build the foundations of their next-generation data platform, combining strong modelling expertise with AI-driven analytics.
Responsibilities
- 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
Qualifications
- 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.
Senior Analytics Engineer in Glasgow employer: Eden Scott
Join a dynamic and innovative SaaS company in Glasgow, where your expertise as a Senior Analytics Engineer will be valued and nurtured. With a strong focus on employee growth, a collaborative work culture, and the opportunity to work with cutting-edge AI-driven analytics, this role offers a unique chance to shape the future of data modelling. Enjoy a hybrid work environment that promotes flexibility and work-life balance while being part of a team that champions ownership and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Eden Scott!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analytics Engineer at Eden Scott.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Eden Scott.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer at Eden Scott, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analytics Engineer in Glasgow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Eden Scott, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Eden Scott. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Eden Scott
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Eden Scott!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
