Lead Analytics Consultant

About the role

The Strategic Data & Analytics team builds analytical products that support growth across Howden Employee Benefits, working alongside consultants, client directors and project teams rather than in a traditional IT function. As Lead Analytics Consultant you will own delivery end to end and lead the reusable components, frameworks, templates and working practices that let a small team serve the whole business. The role is not software engineering or IT, and location is flexible, with home-based or local office options.

Key responsibilities

• Work with senior leaders and client-facing colleagues to turn a broad commercial question into a defined, decidable one, and turn the answer into a product rather than a one-off analysis.
• Own delivery of analytical products end to end, from first conversations to production use.
• Lead the development of reusable components, libraries, frameworks, templates and working practices, keeping them configurable, documented and maintainable by others.
• Work within the firm's software development lifecycle and governance, and help shape them where they do not yet fit a small product team.
• Support colleagues' technical development, including reviewing their work (not a line management role).
• Keep delivery momentum when priorities shift.

Required profile

• Consulting mindset, enjoying a wide variety of problems and helping senior leaders make better decisions with data, analytics and visualisation.
• Able to explain technical concepts clearly to technical and non-technical audiences.
• Comfortable with uncertainty, speed and incomplete information, and effective in a distributed team working mainly over Teams.
• Has taken more than one analytical product from an incomplete brief to sustained use, and has built reusable parts that colleagues have used.
• Experience of Employee Benefits, Pensions or Insurance is not required.

Required skills

• Substantial experience building analytical products in Python.
• Stack: Python, Shiny, Quarto, git, Azure DevOps, Docker-based deployment and Terraform; close equivalents such as R, Shiny, the tidyverse, Streamlit, Dash or scientific computing are acceptable.
• Able to build without AI coding agents, reading, writing, debugging and reviewing code yourself.

What we offer

• A career you define, with reasonable adjustments such as flexible hours or hybrid working where possible.
• Permanent position.