Membership Data Analyst

Overview

As Membership Data Analyst, you translate member and customer data into actionable insights that shape membership strategy and engagement. You’ll collaborate with cross-functional teams to identify opportunities and inform decisions through storytelling with data. The role blends analysis, problem-solving and stakeholder coaching in a member-owned, purpose-driven retail environment. You’ll contribute to a broader analytics community and help drive improved member experiences at scale.

Pay / Benefits

• annual bonus (based on personal and business performance)
• 28 days holiday (rising to 32 with service) plus bank holidays
• pension with up to 10% employer contributions
• subsidised onsite gym (Manchester HQ)
• 30% discount on Co-op products and 10% off other brands
• Stream – early access to a percentage of pay as you earn it (salary streaming)

Responsibilities

• Analyse membership and customer data to answer business questions and provide data-driven recommendations
• Collaborate with stakeholders to understand challenges and identify data-supported opportunities
• Source and interrogate data from multiple systems to produce reliable insights
• Apply statistical techniques to identify trends and opportunities in customer data
• Support regular reporting and ad-hoc analyses across membership and engagement activities
• Present findings clearly to both technical and non-technical audiences
• Contribute to cross-functional projects that use data to improve outcomes
• Share knowledge and best practices to grow the analytics community at Co-op

Key requirements

• Experience in data analysis or analytics, ideally in customer, membership or retail environments
• Strong SQL skills with data extraction, transformation and analysis across sources
• Advanced Excel, with capability to manipulate data and derive insights
• Ability to translate complex data into clear insights and recommendations
• Experience creating data visualisations and presenting insights clearly
• Collaborative, with stakeholder engagement across teams
• Commercial mindset with focus on improving member experiences and business performance
• Attention to detail; validating data and ensuring accuracy of outputs

• collaborative
• communication
• attention to detail
• SQL
• Excel
• data visualisation

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