Lead Analytics Consultant

Location: Flexible UK Location / Remote
Type: Permanent

Required Background

Proven 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

Strong 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

Experience 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

Lead 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