Senior Customer Insight Professional

7 days ago


Farringdon, Greater London, United Kingdom Kurt Geiger Full time
Job Summary

We are seeking a detail-oriented and analytical customer data professional to head up a newly formed Team at Kurt Geiger, an inclusive, creative footwear and accessories brand powered by kindness. The ideal candidate will be responsible for analysing and interpreting customer data to provide actionable insights that drive business decisions, enhance customer experiences, and improve overall marketing strategies.

About the Role

The successful applicant will have previous experience with Customer Segmentation and Analysis, not necessarily from a fashion background. The role requires a strong understanding of data analysis, customer behaviour, and data visualization, along with the ability to work cross-functionally with marketing, sales, and product teams.

Responsibilities
  • Data Collection & Management:
    • Utilise customer data from multiple sources (CRM systems, transactional databases, web analytics, etc.) through mParticle and Snowflake our core Customer Data Profile Warehouse.
    • Ensure the accuracy, consistency, and integrity of data used for analysis
  • Customer Insights & Analysis:
    • Analyse customer data to identify trends, behaviours, and preferences that inform business strategy.
    • Own the Segmentation of the customer base based on demographics, purchase patterns, and behaviour to improve targeting and personalization strategies across un-paid & paid marketing channels.
    • Perform cohort analysis, churn analysis, and lifetime value modelling (as examples) to assess customer retention and growth.
  • Reporting & Visualization:
    • Create and maintain regular reports and dashboards to track key customer metrics such as acquisition, retention, and satisfaction.
    • Use data visualization tools (e.g., Power BI, Tableau, etc.) to present findings in a clear and actionable manner for stakeholders.
    • Provide ad-hoc analysis and reporting to support decision-making across departments.
  • Collaboration & Stakeholder Engagement:
    • Work closely with marketing, product, and sales teams to understand their data needs and provide insights to guide decision-making.
    • Support the development of customer-focused strategies through data-driven insights and recommendations.
Benefits
  • Estimated Salary: £60,000 - £80,000 per annum, depending on experience.
  • Pension and life assurance.
  • Enviable discounts.
  • Gym Discounts.
  • Summer Hours - 3pm Friday Finish.
  • Half Day, Payday Friday (once per month).
  • RetailTrust support.


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