Lead Analytics Engineer

This is an opportunity to join a highly commercial analytics function where data products directly influence business decisions. Rather than sitting within a traditional IT team, you will work closely with senior stakeholders to solve complex challenges, build scalable analytical solutions, and create products that deliver long-term value across the organisation., You will:

• Partner with senior stakeholders to translate complex business challenges into actionable analytical solutions.
• Own the end-to-end delivery of analytical products, from initial discovery through to deployment and adoption.
• Design and develop reusable frameworks, templates, libraries, and components that enable scalable delivery.
• Build analytical tools and applications using Python and modern data product development practices.
• Create solutions that are maintainable, configurable, and easily adopted by a wider team.
• Collaborate with both technical and non-technical audiences, communicating insights clearly and effectively.
• Contribute to development standards, governance processes, and best practices.
• Support and mentor colleagues through knowledge sharing, peer reviews, and technical guidance., * The opportunity to work closely with senior decision-makers and influence business strategy.
• Exposure to a broad range of analytical challenges and high-impact projects.
• Clear opportunities to shape team standards, frameworks, and ways of working.
• Ongoing professional development and career progression within a growing analytics function.

• Strong commercial experience delivering analytical products from concept through to business adoption.
• Advanced Python development skills within analytics, data science, or decision-support environments.
• Experience building reusable tools, frameworks, or data products used by multiple stakeholders.
• Knowledge of technologies such as Python, Git, Azure DevOps, Docker, Terraform, Shiny for Python, Streamlit, Dash, R, or similar platforms.
• Excellent stakeholder management and communication skills.
• A consulting-style approach with the ability to work across varied business problems.
• Experience operating in fast-moving environments with changing priorities.
• Confidence working independently while collaborating effectively within distributed teams.

They are a growing professional services organisation investing heavily in data and analytics to support strategic decision-making and business growth. Their analytics team operates as a business-embedded function, partnering directly with commercial and operational leaders to develop impactful solutions. With a flexible and distributed working model, they foster collaboration, ownership, and continuous improvement. The environment is fast-paced, varied, and focused on delivering practical outcomes rather than technical complexity for its own sake.