Head of Ecommerce Customer Analytics, London
Client:
Location:
London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
89656f8b817e
Job Views:
95
Posted:
11.03.2025
Expiry Date:
25.04.2025
Job Description:
Company Information
You’re an original. So are we.
We’re a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labour and environmental guidelines in manufacturing. And we work to build sustainability into everything we do. Our brands stand for freedom and self-expression around the world.
Where we lead, others follow. For nearly 170 years, we’ve used the strength of our brands to lead with our values and make an outsized impact on the world. We employ more than 15,000 people globally to support our great brands: Levi’s, Dockers, Denizen, Signature by Levi Strauss & Co. and Beyond Yoga.
Purpose:
The purpose of the role is to lead European ecommerce and customer analytics and insights. You will be responsible for transforming data into actionable insights that drive growth, optimize the customer experience across all touchpoints, and foster customer loyalty. You will lead a team of data analysts and collaborate with key stakeholders across the business to translate insights into concrete strategies and initiatives, supporting our ambitious revenue, customer satisfaction, and retention goals.
Key Results:
* Clear visualization of insights and reports
* Business clarity in KPIs and performance metrics that drive revenue and customer loyalty
Key Responsibilities:
* Develop and implement a comprehensive E-commerce and Customer analytics insights strategy aligned with business objectives.
* Develop and build insights to create initiative and strategic business cases to support annual financial plans.
Reporting and Visualization
* Working in collaboration with Global Data teams to lead the ongoing creation, delivery, and enhancement of Ecommerce and Customer analytics utilizing Tableau visualization.
* Define and track EU key performance indicators (KPIs) for customer acquisition, loyalty program engagement, and site trading metrics.
* Proactively report on trading & customer trends and insights.
* Communicate insights effectively through compelling data visualizations, dashboards, and reports tailored to different audiences.
Advanced Analytics and Insights
* Develop advanced data analysis, predictive modeling, and machine learning initiatives to create actionable insights that support maximizing Levi’s Digital Revenue.
* Translate data insights into actionable recommendations for optimizing the customer journey, trading decisions, and driving Customer Lifetime Value.
Cross Functional Collaboration and Team Leadership
* Partner with Ecommerce & loyalty teams to translate insights into action and measure the impact of implemented initiatives.
* Lead a team of data analysts, ensuring they have the resources and support to deliver high-quality insights across all domains.
* Stay abreast of the latest trends and technologies in E-commerce, Customer Insights, and Trading analytics, implementing new techniques to improve data-driven decision making.
Experience:
* 8+ years of experience in E-commerce analytics, customer analytics, trading analytics, or a related field.
* 5+ years of people management with proven experience of leading motivated teams.
* Proven track record of developing and implementing successful data-driven strategies that drive growth, improve customer loyalty, and optimize trading outcomes.
* Nice to have: Experience working in an omnichannel retail environment.
Specialized Knowledge/Technical Skills:
* Strong analytical skills and experience using various data analysis tools and techniques (e.g., SQL, BI platforms, data visualization tools, econometrics models).
* Strong proficiency in Adobe, Segment data tool.
* Working knowledge of media tagging (UTM), Google Ads, Meta, Campaign Manager, Competitor monitoring tools (Similar web, Edited).
* Experience using a CDP and establishing Customer Segmentation models, Micro-targeting strategies.
* Unwavering customer-focused ethos, placing the consumer at the core of all decisions.
Decision Making and Problem Solving:
* Ability to make quick data-driven decisions.
* Ability to share proactive actionable insights.
* Excellent communication and presentation skills, able to translate complex data insights into actionable stories for diverse audiences.
* Strong leadership and collaboration skills, able to build and motivate a high-performing team.
Internal & External Relationships:
Connect, communicate, inspire, and create collaboration across a spectrum of departments.
Offer data thought leadership across the local EU organization.
Global Data Team connection and thought partnership.
Lead data-driven discussions with external media agency and platforms.
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