Hybrid – 1-2 days per week

West Midlands based

Full-time

Up to £50,000 + up to 20% bonus

We’re supporting a large, well-established business in hiring a Customer Insight Analyst to join their Data & Analytics function on a permanent basis. This is a hands-on role with real commercial impact, working with rich customer-level data to drive insight across multiple areas of the business.

The role is well suited to someone who is equally comfortable writing complex queries and presenting findings to senior stakeholders — communication and storytelling skills matter here as much as technical ability.

What you’ll be doing:

• Conducting multi-channel data analysis to understand customer behaviour and identify commercial opportunities
• Building and maintaining dashboards that track performance across marketing channels and programmes
• Developing segmentation models to support more targeted and personalised customer communications
• Analysing customer retention and churn patterns to identify opportunities for intervention
• Presenting insights clearly to stakeholders, including senior audiences
• Supporting the development of new reporting solutions alongside existing BAU delivery
• Contributing to a longer-term data science roadmap, including exposure to ML and predictive modelling

What we’re looking for:

• 3–5 years’ experience in a customer, marketing, or commercial analytics role
• Strong SQL skills — essential
• Power BI experience
• Confident presenting data and communicating findings to non-technical stakeholders
• Python or R experience — desirable

What’s on offer:

• A varied role with genuine commercial impact across a large, diverse business
• Exposure to a modern data stack and an evolving data science roadmap
• A collaborative team environment with room to grow
• Hybrid working — 1-2 days per week in Birmingham City Centre
• Up to £50,000 salary + 20% bonus

If you are interested in this opportunity and would like to hear more, please apply with an updated CV and contact information, or reach out directly to