Senior Analytics Engineer 232948

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Senior Analytics Engineer

  • Glasgow
  • 60,000 Annual
  • Permanent

BI Data Modeller | £40–50K | Hybrid – Glasgow


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.

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

Interested?

Please apply directly to find out more.

Aimee Ryder
Point of contact
Aimee Ryder
Senior Resourcer
0141 410 1012

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