Senior Analytics Engineer
GlobalHolborn - London
Posted May 6, 2026
Full Time
About the Company
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 Radio. 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.
Job Description
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.
Requirements
- 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
