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# Senior E-Commerce Analyst

- **Company:** Jimmy Choo
- **Location:** UK
- **Experience:** Expert
- **Salary:** £40,700.0 - £55,100.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Extract Transform Load (ETL), Data Warehousing, Database Queries, Python (Programming Language), NumPy, Power BI, SQL Databases, Powerquery, Data Analytics, Performance Monitor
- **Published:** September 4, 2026
- **Apply:** https://www.totaljobs.com/job/senior-ecommerce-analyst/jimmy-choo-job107937457

## About the Role

* 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

## Description

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.


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