Senior Analyst

- Featured Role Apply direct with Data Freelance Hub

This role is for a Senior Analytics Engineer, hybrid in London, with an unknown contract length and unknown pay rate. Key skills: SQL, Python, data engineering, BI tools (preferably Looker), and CI/CD familiarity.

United Kingdom

Lodnon- Hybrid one day a week

Job Title: Senior Analytics Engineer

About The Role

My client is looking for a Senior Analytics Engineer to help shape and scale their data ecosystem. You'll partner with analysts, data engineers, and business stakeholders to design and deliver high quality, reliable datasets that power decision-making across the organization. This role is central to building a strong data culture, enabling self service, and ensuring data is both trusted and accessible.

What they are Looking For

• Strong programming skills in SQL and Python, with experience using modern data platforms and orchestration tools
• Proficiency in data engineering best practices, including data modeling, warehousing, governance, observability, monitoring, and performance/cost optimization
• Experience working across the full data stack and integrating multiple data sources
• Hands on expertise with BI tools, ideally Looker, both from a platform engineering perspective and as a support partner for business users
• Ability to work independently, deliver high quality features, and influence the team's priorities and roadmap
• Excellent communication skills and the ability to explain complex technical concepts to diverse stakeholders
• Experience collaborating in dynamic, fast paced environments with evolving requirements
• Familiarity with CI/CD pipelines (e.g., Github Actions, Jenkins) for analytics workflows is a plus

What You'll Do

• Collaborate with data engineers and stakeholders to design, scope, and implement scalable data models
• Improve and standardise BI definitions within the data stack, ensuring consistency and reducing reliance on manual updates
• Refactor and optimise existing data models to enhance performance, usability, and maintainability
• Build high quality, production ready datasets that empower analysts and business teams
• Contribute to the long term vision of a robust, self service analytics environment