> Markdown version of [/jobs/ext/2871378-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/2871378-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Richemont - **Location:** Kings Hill, UK - **Experience:** Expert - **Salary:** £55,828.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Computing Platforms, BigQuery, Continuous Integration, Database Development, Google Cloud, Sql Optimization, Git, Software Version Control - **Published:** September 13, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5881159110 ## About the Role * Advanced SQL: able to write optimized, maintainable queries using complex joins, CTEs, and window functions. * dbt for data modelling using medallion architecture, testing, and documentation. * Hands-on experience with Google Cloud Platform (GCP), especially BigQuery. * Git version control and collaborative development practices. * Ability to translate business requirements into well-structured, scalable data models. * Problem-solving and analytical thinking, with a focus on clarity and impact. * Good communication skills: able to simplify technical topics and engage effectively with stakeholders across business functions. * Proactive mindset, capable of managing priorities, documenting work clearly, and driving outcomes independently. ## Description * Translate business needs into clear and scalable data models and our semantic layer, ensuring technical solutions align with our long-term platform design and methodologies. * Build and maintain robust data transformations and models in dbt, ensuring data consistency, quality, and reusability across our BigQuery environment. * Deliver analytical insights and self-service data products (reports, KPIs, dashboards) that drive data decision-making culture. * Identify, collect, and transform data from multiple sources; model it effectively for analytical consumption following layered architecture principles. * Promote best practices in data development, version control, and documentation using Git and CI/CD workflows. * Proactively identify data quality issues, operational risks, and growth opportunities, driving data-driven recommendations and influencing priorities. * Communicate insights clearly to technical and non-technical audiences, including senior stakeholders, supporting business alignment and adoption. * Contribute to team culture by sharing knowledge, supporting peer reviews, and mentoring colleagues when needed.