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Senior analytics engineer - manchester

Manchester
Engineer
£60,000 - £68,000 a year
Posted: 11 June
Offer description

Salary: £60,000 - 68,000 per year Requirements: Strong SQL skills Experience building advanced dashboards using Power BI, Looker, or similar tools Solid understanding of data modelling, including dimensional and star schema approaches Hands-on experience working in large-scale BI environments Strong stakeholder management skills, with the ability to challenge, prioritise, and guide decisions Comfortable working in a fast-paced, delivery-focused environment Experience with BI migrations is highly beneficial Experience with dbt or modern data transformation frameworks is highly desirable Exposure to Looker, Omni, or semantic layer tools is a plus Background in analytics engineering or hybrid BI/data roles is advantageous Responsibilities: Lead the end-to-end BI migration from Power BI to Omni Review and rationalise existing dashboards, identifying duplication and consolidation opportunities Work closely with stakeholders to define what truly needs to be rebuilt Build and optimise dashboards in Power BI in the short term and Omni in the long term Develop and maintain data models and pipelines Support the move toward dbt-driven data modelling and transformations Ensure reporting is scalable, maintainable, and aligned to business needs Technologies: Support Looker Power BI SQL dbt Frontend More: We are a global research technology SaaS business powering market research and survey platforms used by major organisations worldwide. We process hundreds of millions of responses annually and operate across a large, distributed international team. Data sits at the core of our business, and we are modernising our BI stack to support future growth. This is a high-impact, 8-month FTC role with urgent start timing, ideally within 0-2 weeks and up to 1 month considered. The position is fully remote across the UK, Sweden, Germany, or Spain, with optional hybrid working in London. We offer the opportunity to shape a modern BI stack, work in a highly data-driven environment, and gain strong exposure to modern tooling and practices. Our interview process includes an initial interview with the Head of Team followed by a technical interview focused on BI, SQL, and modelling. last updated 24 week of 2026

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