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Senior Analytics Engineer

Eden Scott · Glasgow, Scotland, United Kingdom

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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 dataAre 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 DoingOwn the Semantic LayerDesign, build and maintain governed semantic models and datasetsCreate reusable business-ready data models built on Kimball and star-schema principlesEnsure data definitions are consistent, trusted and scalable across reporting, analytics and AI use casesDefine Metrics & GovernanceEstablish and document core business metrics and definitionsOwn standards around data quality, lineage, documentation and governanceEnsure reports, dashboards and AI tools return consistent answers from trusted data sourcesBuild Repeatable Data ProductsTransform recurring requests into self-service, reusable analytical productsReduce reliance on manual reporting and ad-hoc analysisDrive automation of repetitive analytical processes using tools such as Power AutomateEnable AI-Ready AnalyticsPrepare semantic models for Copilot, AI agents and natural-language queryingCreate descriptions, metadata, guardrails and business context that improve AI-generated insightsUse AI tools to accelerate development, documentation and optimisation while applying rigorous validation and quality controlProvide Technical LeadershipSet best practices for analytics engineering and data modellingMentor Analytics Engineers and support the wider data teamPartner closely with Data Engineering, Product and Commercial teams to deliver scalable solutions✅ What We're Looking ForEssentialProven experience as an Analytics Engineer, BI Developer or Data Modelling specialistStrong understanding of semantic modelling, metric layers, star schema and Kimball methodologyAdvanced SQL skills including query optimisation and stored procedure developmentStrong Power BI experience including DAX, M Query and dataset modellingExperience turning ad-hoc reporting requirements into governed, reusable solutionsStrong understanding of data quality, lineage, governance and documentationExperience identifying and automating manual analytical processesConfident use of AI tools with the ability to validate outputs and ensure production readinessAbility to translate complex business requirements into scalable data modelsDesirableExperience preparing data platforms for Copilot, AI agents or natural-language analyticsPrevious experience with procurement, spend, supplier or other complex master-data domainsExperience mentoring or leading Analytics EngineersFamiliarity with Power Automate and workflow automation tools🌟 Why Join?Play a pivotal role in shaping the organisation's AI and analytics capabilitiesMove the business from reactive reporting to productised, self-service analyticsOwn the semantic layer that powers reporting, dashboards and AI-driven insightsWork alongside a highly capable Data Engineering teamJoin a culture that values innovation, autonomy, ownership and continuous improvementHave 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 reportsThink in terms of data products, models, metrics and governanceChallenge assumptions and validate outputs, especially when AI is involvedContinuously seek opportunities to automate and improve analytical processesCan bridge the gap between technical teams and business stakeholdersTake 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.