Lead Analytics Consultant

Reference: 58484Lead Analytics ConsultantLocation: Flexible UK Location / RemoteType: PermanentRequired BackgroundProven experience delivering analytical products from concept through to business adoption Strong consulting mindset with the ability to solve complex business problems using data and analytics Experience working directly with senior stakeholders and translating commercial challenges into analytical solutions Track record of owning end-to-end delivery of data, analytics, or insight products Experience mentoring colleagues and reviewing technical work Strong communication skills with the ability to engage both technical and non-technical audiences Comfortable working in fast-paced, evolving environments with changing priorities Experience working within governance, delivery, and software development lifecycle processes Technical SkillsStrong Python development experience Experience building production-grade analytical products and applications Git version control Azure DevOps or equivalent repository, pipeline, and work management platforms Data visualisation and analytics product development Experience with analytical application frameworks such as: Shiny for Python Streamlit Dash Reporting and analytical tooling including Quarto or similar CI/CD pipelines and deployment practices Docker-based deployment Terraform or Infrastructure as Code (IaC) tooling Code review, testing, debugging, and software quality best practices Nice to HaveExperience with: R Shiny Tidyverse Scientific or quantitative computing environments Experience building reusable frameworks, libraries, and analytical platforms Consulting or professional services background Experience supporting and scaling analytical products after release Knowledge of modern software engineering and analytics delivery practices Experience working within distributed or remote teams Key ResponsibilitiesLead the design, development, and delivery of analytical products from concept to production Partner with senior stakeholders to turn business challenges into scalable analytics solutions Develop reusable frameworks, components, and development standards Build maintainable, configurable, and scalable analytical products Contribute to governance, delivery, and development processes Support and mentor colleagues through technical leadership and code reviews Drive delivery across multiple priorities in a fast-moving environment Promote best practices across analytics, product development, and delivery

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