Lead Analytics Consultant

Source Group International; City Of London; Remote; GBP 70,000 - 110,000; Full time

Job summary

Source Group International is seeking a Lead Analytics Consultant to design, develop, and deliver analytical products from concept to production while collaborating with senior stakeholders to translate business challenges into scalable analytics solutions.

You will build reusable frameworks, establish development standards, and mentor colleagues in a fast-moving environment, driving governance and best practices across analytics and delivery.

Qualifications

• Proven experience delivering analytical products from concept through to business adoption.

Responsibilities

• 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.

Skills

Python development

Data visualisation

Analytics product development

CI/CD

Code review

Testing & debugging

Software quality

Shiny for Python/Streamlit/Dash

GGit version control

Terraform/IaC

Tools

Git

Azure DevOps

Docker

Kubernetes (assumed)

Quarto

CI/CD tooling

Job description

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 processesTechnical Skills

Technical Skills

• 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

Nice to Have

• 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

Key Responsibilities

• 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

We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.