Senior Analytics Engineer

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.

• 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

• 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

• 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
• 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

• 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

• 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
• 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
• 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
• 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