Customer Insights Manager
HybridRochdale, England, United Kingdom
Job Summary
Collect and integrate customer data from multiple sources to build comprehensive profiles for Footasylum's shoppers. Conduct in-depth analysis to identify preferences and trends, shaping marketing campaigns, audience targeting, and brand messaging. Collaborate cross-functionally with Data, Buying, Design Centre, and Marketing teams to align strategies with customer needs and forecast purchasing patterns. Develop customer segmentation models, present clear visualizations to stakeholders, and champion data-driven decision-making across the organization. Track influencer marketing performance and emerging trends to inform campaign design and loyalty initiatives.
Required Qualifications
- Proven experience in customer insights, market research, or data analytics
- Ideally within retail, e-commerce, or a consumer-facing industry
- Demonstrated success in working cross-functionally to translate data into actionable strategies for marketing, product development, or customer engagement
- Proficiency in data analysis and visualisation tools (e.g., Tableau, Power BI, Google Analytics, or similar)
- Strong understanding of customer data platforms, CRM systems, and market research methodologies
- Exceptional communication skills, with the ability to articulate complex data insights in a clear, compelling manner to non-technical stakeholders
- Strong influencing skills, with a track record of driving stakeholder buy-in and fostering collaboration across teams
- Ability to tell a story with data, making insights accessible and actionable for diverse audiences
- Curious and analytical thinker with a passion for uncovering customer insights and driving business impact
- Collaborative and adaptable, thriving in a fast-paced, cross-functional environment
- Proactive and results-oriented, with a focus on delivering measurable outcomes
- Not a remote role
- Attending Head Office in a hybrid way, in Greater Manchester
Desired Qualifications
- Experience with trend analysis, customer segmentation, or campaign optimisation
- Familiarity with statistical analysis and predictive modelling
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