At a Glance
- Tasks: Lead ecommerce analytics, transforming data into insights that drive growth and enhance customer experience.
- Company: Join a pioneering brand with a legacy of innovation and sustainability in fashion since 1873.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration across global teams.
- Why this job: Be at the forefront of data-driven decision-making in a company that values creativity and self-expression.
- Qualifications: 8+ years in ecommerce analytics and 5+ years in team leadership required; strong analytical skills essential.
- Other info: Experience in omnichannel retail is a plus; must be passionate about customer-centric strategies.
The predicted salary is between 43200 - 72000 £ per year.
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Head of Ecommerce Customer Analytics, Greater London
Location:
Greater London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
89656f8b817e
Job Views:
86
Posted:
03.03.2025
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 KPI’s and performance metrics that drive revenue and customer loyalty
Key Responsibilities:
- Develop and implement a comprehensive E-commerce, 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 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, customer lifetime value, product performance, and 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 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.
- Proven track record of people management.
- 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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Head of Ecommerce Customer Analytics employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Ecommerce Customer Analytics
✨Tip Number 1
Familiarize yourself with the latest trends in e-commerce and customer analytics. This role requires a deep understanding of how data can drive customer loyalty and revenue, so being up-to-date will help you stand out.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you've successfully led teams to achieve data-driven results. Highlighting your ability to motivate and guide a team will be crucial for this position.
✨Tip Number 3
Prepare to discuss specific tools and techniques you’ve used in data analysis, such as SQL or Tableau. Being able to articulate your technical skills will demonstrate your capability to handle the responsibilities of this role.
✨Tip Number 4
Network with professionals in the e-commerce and analytics space. Engaging with others in the industry can provide insights and connections that may give you an edge in the application process.
We think you need these skills to ace Head of Ecommerce Customer Analytics
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Head of Ecommerce Customer Analytics position. Tailor your application to highlight your relevant experience in e-commerce and customer analytics.
Highlight Leadership Experience: Since this role involves leading a team, emphasize your people management experience. Provide specific examples of how you've successfully led teams and driven results in previous roles.
Showcase Analytical Skills: Detail your proficiency with data analysis tools and techniques. Mention any relevant projects where you utilized SQL, BI platforms, or data visualization tools to derive actionable insights that improved customer loyalty or trading outcomes.
Communicate Effectively: Your application should reflect strong communication skills. Use clear and compelling language to convey your insights and experiences. Consider including examples of how you've translated complex data into actionable strategies for diverse audiences.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis tools and techniques. Highlight specific projects where you transformed data into actionable insights, especially in e-commerce or customer analytics.
✨Demonstrate Leadership Experience
Since this role involves leading a team, share examples of how you've successfully managed and motivated teams in the past. Discuss your approach to fostering collaboration and driving results.
✨Communicate Insights Effectively
Practice explaining complex data insights in simple terms. Be ready to present a sample dashboard or report that you’ve created, showcasing your ability to visualize data for different audiences.
✨Stay Updated on Industry Trends
Research the latest trends in e-commerce and customer analytics. Be prepared to discuss how you would implement new techniques or technologies to enhance data-driven decision-making in the company.