Your Role: Senior Analytics Engineer
A hands-on analytics engineering role focused on building trusted, scalable data models that power insight, measurement and AI-driven decision-making.
As a Senior Analytics Engineer at Global, you will:
Key Responsibilities• Data Modelling & Product Development (50%): Design, build and maintain scalable, reusable and well-documented data models and curated datasets that support analytics, BI, product and data science use cases. Translate complex raw data into trusted, business-aligned datasets.
• Data Quality, Testing & Documentation (25%): Implement robust testing frameworks and automated checks to ensure data accuracy, consistency and reliability. Maintain clear documentation and improve discoverability of datasets and metrics.
• Business Partnership & Metric Definition (25%): Work closely with Analytics, Product, Data Science and commercial teams to define and align on KPIs, business logic and data definitions. Ensure datasets support consistent decision-making across the organisation.
What You’ll Love About This RoleThink Big: Help build foundational analytics models and standards for a next-generation AI-driven intelligence platform.
Own It: Take responsibility for trusted datasets and business logic that underpin key commercial and product decisions.
Keep it Simple: Turn complex, messy data into clear, reusable and well-structured data products.
Better Together: Collaborate across Data Engineering, Product, Analytics and Commercial teams to solve real-world problems.
What Success Looks LikeIn your first few months, you’ll have:
• Built a strong understanding of the Global:IQ vision and key use cases
• Delivered curated datasets supporting key targeting, optimisation or measurement needs
• Established consistent business logic, definitions and KPIs across teams
• Improved testing, documentation and data quality practices for core models
• Embedded yourself into agile delivery processes and cross-functional teams
• Identified opportunities to improve scalability, clarity and reusability of data models
• Analytics Engineering Experience: Background in analytics engineering or a similar data modelling-focused role
• SQL Expertise: Strong SQL skills with experience using cloud data platforms (e.g. Snowflake)
• Data Modelling Skills: Proven ability to design scalable, well-structured and reusable data models
• Tooling Experience: Experience with dbt, Python, Airflow or similar modern data stack tools
• DataOps Practices: Familiarity with git, CI/CD and testing frameworks for data pipelines
• Data Quality Focus: Strong understanding of validation, documentation and testing best practices
• Stakeholder Collaboration: Ability to translate business needs into robust analytical datasets and definitions
• Communication Skills: Able to explain technical concepts clearly to both technical and non-technical audiences
• Mindset: Detail-oriented, pragmatic, proactive and comfortable working in fast-moving environments
Top Skills
What We Do
The UK and Europe’s largest Radio & Outdoor company, Global is home to respected, national market-leading media brands broadcasting across the UK on DAB & FM and around the world on Global Player, including Heart, Capital, LBC, Capital XTRA, Capital Dance, Classic FM, Smooth, Radio X and Gold. Global Player allows listeners to enjoy all of Global’s radio brands, award-winning podcasts, and expertly curated playlists, in one place in app, on web and on smart speakers. Global is also one of the leading Outdoor companies in both the UK & Europe, with over 253,000 sites reaching 95% of the UK population. Global’s extensive and diverse outdoor portfolio encompasses Transport for London’s Underground network, almost all major UK airports including Gatwick, the UK’s largest portfolio of roadside posters and premium digital screens in prime locations, as well as the UK’s largest network of buses including all major cities. On-air, on Global Player and with our outdoor platforms combined, Global reaches 51 million individuals across the UK every week, including 26.3 million on the radio alone.
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