Eden Scott
Senior Analytics Engineer
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🚀 Senior Analytics Engineer | Competitive Salary | Hybrid – Glasgow
💡 Join a market-leading SaaS business building AI-ready data products and transforming how organisations use data
Are you an experienced Analytics Engineer who thrives on creating scalable, governed data models rather than delivering one-off reports? Do you enjoy turning complex business questions into reusable data products that power analytics, automation and AI?
We are partnering with a high-growth SaaS organisation where data is central to their product strategy. With a strong Data Engineering function already in place, they're looking for a Senior Analytics Engineer to own the semantic layer that sits between raw data and the insights, dashboards and AI tools relied upon across the business.
🔍 What You'll Be Doing
Own the Semantic Layer
- Design, build and maintain governed semantic models and datasets
- Create reusable business-ready data models built on Kimball and star-schema principles
- Ensure data definitions are consistent, trusted and scalable across reporting, analytics and AI use cases
Define Metrics & Governance
- Establish and document core business metrics and definitions
- Own standards around data quality, lineage, documentation and governance
- Ensure reports, dashboards and AI tools return consistent answers from trusted data sources
Build Repeatable Data Products
- Transform recurring requests into self-service, reusable analytical products
- Reduce reliance on manual reporting and ad-hoc analysis
- Drive automation of repetitive analytical processes using tools such as Power Automate
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Enable AI-Ready Analytics
- Prepare semantic models for Copilot, AI agents and natural-language querying
- Create descriptions, metadata, guardrails and business context that improve AI-generated insights
- Use AI tools to accelerate development, documentation and optimisation while applying rigorous validation and quality control
Provide Technical Leadership
- Set best practices for analytics engineering and data modelling
- Mentor Analytics Engineers and support the wider data team
- Partner closely with Data Engineering, Product and Commercial teams to deliver scalable solutions
✅ What We're Looking For
Essential
- Proven experience as an Analytics Engineer, BI Developer or Data Modelling specialist
- Strong understanding of semantic modelling, metric layers, star schema and Kimball methodology
- Advanced SQL skills including query optimisation and stored procedure development
- Strong Power BI experience including DAX, M Query and dataset modelling
- Experience turning ad-hoc reporting requirements into governed, reusable solutions
- Strong understanding of data quality, lineage, governance and documentation
- Experience identifying and automating manual analytical processes
- Confident use of AI tools with the ability to validate outputs and ensure production readiness
- Ability to translate complex business requirements into scalable data models
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Desirable
- Experience preparing data platforms for Copilot, AI agents or natural-language analytics
- Previous experience with procurement, spend, supplier or other complex master-data domains
- Experience mentoring or leading Analytics Engineers
- Familiarity with Power Automate and workflow automation tools
🌟 Why Join?
- Play a pivotal role in shaping the organisation's AI and analytics capabilities
- Move the business from reactive reporting to productised, self-service analytics
- Own the semantic layer that powers reporting, dashboards and AI-driven insights
- Work alongside a highly capable Data Engineering team
- Join a culture that values innovation, autonomy, ownership and continuous improvement
- Have genuine influence on data strategy and technical standards across the business
🧠 You'll Thrive If You...
- Enjoy building systems, standards and reusable solutions rather than one-off reports
- Think in terms of data products, models, metrics and governance
- Challenge assumptions and validate outputs, especially when AI is involved
- Continuously seek opportunities to automate and improve analytical processes
- Can bridge the gap between technical teams and business stakeholders
- Take ownership and make sound technical decisions with confidence
📩 Interested?
Apply today to learn more about this opportunity and how you can help shape the future of AI-ready analytics in a growing SaaS business.
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