Role: Customer Insight Analyst
Rate: £550 p/d – Inside IR35
Location: Remote first – Southampton HQ - 2 days per month on site
Duration: 6 months
Following a major restructure, our newly integrated CRM, Loyalty, and Insight team is looking for a heavy-hitting contractor to join the Customer Analytics function. We've brought these disciplines together to create a powerhouse of marketing analytics, and we need someone who can hit the ground running while our permanent team scales up.
Experience Required:
* Advanced SQL skills are essential for data extraction and manipulation. Proficiency in Python is required for more sophisticated \"deep-dive\" statistical analysis.
* Experience within a Retail environment is highly preferred but not essential,
* Experience working with loyalty schemes and CRM data.
* A proven track record of taking complex data and turning it into a compelling \"story\" for non-technical stakeholders.
* Experience working in a \"project-based\" capacity where you are responsible for defining the scope and delivering insights with minimal supervision.
* An understanding of promotional mechanics and how customer data feeds into broader strategic business goals.
* Comfortable working within a recently restructured environment and able to collaborate effectively with both Web Analytics and Customer Analytics leads.
Responsibilities:
* Execute end-to-end analytical projects focusing on customer behaviour, loyalty, and CRM effectiveness to identify growth opportunities.
* Partner with Category and Marketing teams to analyse and influence promotional strategies, ensuring a data-driven approach to trade activities.
* Translate technical outputs into \"business-ready\" presentations. You won't just report numbers; you will explain the implications to senior leadership.
* Analyse the impact of the recent team restructure by looking at the holistic customer journey across CRM, Loyalty, and General Insights.
* Identify where the business is \"leaving money on the table\" by spotting trends within internal customer data that others might miss.
* Serve as a technical point of reference for permanent team members, demonstrating what \"great\" looks like in SQL/Python coding and analytical methodology.