Full job description

Data Analyst

Liverpool | Hybrid Working | Up to £60,000

One of the UK’s fastest growing businesses is looking for a Data Analyst to join its expanding data function. This is an opportunity to join at an exciting stage of growth, working closely with stakeholders across multiple areas of the business to deliver insight that drives commercial decisions.

What's In It For You?

• Salary up to £60,000
• Hybrid working
• Bonus scheme
• Private medical insurance
• Enhanced pension contribution
• Life assurance
• 25 days holiday plus bank holidays
• Additional day off for your birthday
• Genuine opportunities for career progression and building out a team in future
• The chance to make a visible impact within a growing data function

The Role

You'll be responsible for turning complex data into meaningful business insight, helping stakeholders better understand customer behaviour, campaign performance and commercial opportunities.

This is a highly analytical role suited to someone who enjoys solving ambiguous business problems, carrying out deep-dive investigations and delivering actionable recommendations.

Key responsibilities include:

• Analysing customer, marketing and commercial performance data
• Supporting customer retention and engagement initiatives
• Developing customer segmentation and behavioural insights
• Identifying opportunities to improve ROI and customer lifetime value
• Delivering stakeholder-focused analysis and recommendations
• Investigating trends, patterns and performance drivers across the business
• Collaborating with teams to support data-led decision making

About You

We're looking for someone who combines strong technical skills with commercial awareness.

You'll have:

• Strong SQL skills
• Experience in a Data Analyst or similar analytical role
• A track record of delivering actionable insights from complex datasets
• Strong stakeholder management and communication skills
• The ability to work independently and solve open-ended business challenges
• Experience working with customer, marketing, CRM or commercial data

Desirable experience:

• Ecommerce analytics
• Customer segmentation and behavioural analysis
• Marketing effectiveness analysis
• CRM and loyalty programme analytics
• Experience with BigQuery or similar cloud-based data environments
• Exposure to experimentation or A/B testing