Senior E-Commerce Analyst

Title: Senior Ecommerce Analyst

Department: Ecommerce
Reports to: Director of Ecommerce

About us

Jimmy Choo is a pioneering, luxury accessories house. Established in 1996, the brand originated as an East London atelier, specialising in hand-crafted shoes; today it’s a global powerhouse with artisanal craft at its heart and an aesthetic grounded in modern glamour.
The Opportunity

This is a unique opportunity to be the foundational member of our ecommerce team. Reporting directly to the Director of Ecommerce, you will play a critical role in building our reporting and analytics capabilities from the ground up. Your work will focus on commercial performance, helping teams make smarter, data-driven decisions about product, performance, and strategy. If you love transforming complex data into beautiful, automated, and actionable dashboards, this is the role for you.

What You'll Be Doing

Build & Automate: Design, develop, and maintain powerful and intuitive dashboards in Power BI & Excel to track key business KPIs (e.g., sales, stock, views, engagement, customer LTV).
Be the Data Guru: Act as the go-to person for performance reporting, ensuring data is accurate, reliable, and easily accessible to stakeholders.
Dig Deep: Use SQL and Python to query our data warehouse, joining complex datasets to uncover trends, opportunities, and the "why" behind numbers.
Drive Efficiency: Proactively identify opportunities to automate manual reporting processes, freeing up time for deeper, more impactful analysis.
Translate & Communicate: Work with stakeholders in Trading, Planning, Content, Marketing and Finance to understand their challenges and translate business questions into analytical projects.
Assist Trade team with annual planning and forecasting. Work with finance to submit budgeting.

What You'll Bring

Essential:

5+ years of experience in a data analytics or business intelligence role.
Advanced proficiency in Power BI, including building data models, writing complex DAX measures, and using Power Query for ETL.
Strong SQL skills for querying and manipulating large datasets.
Experience using Python (pandas, NumPy) for data analysis and automation.
A meticulous eye for detail and a passion for data accuracy and visualisation.
Excellent communication skills and the ability to explain technical concepts to non-technical audiences.

Non Essential:

Experience within an e-commerce or retail environment.
Familiarity with Power BI, GA, ADE

Our values – creativity, openness and courage.

Equality, diversity and inclusion

At Jimmy Choo, we are committed to building a representative business that is empowered by our celebration of difference and enriches our creative solutions. We are all responsible for creating a diverse and inclusive workplace. We try to inspire change and growth within each other and believe success is a result that comes from our differences. Jimmy Choo is proud to be an equal opportunity employer committed to inclusivity.

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The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories.

At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at CapriTalentAcquisition@CapriHoldings.com.

In compliance with certain Pay Transparency laws, employers are required to disclose a compensation range. The range for this position will vary based on role requirements, skill set, and years of experience. Please note that for salaried roles, the figures reflect full-time equivalency, while for hourly roles, the figures represent the applicable hourly rate.

Compensation Range:

40,700.00 - 55,100.00 GBP