E-commerce & Omnichannel Data Analyst
Pubblicato il 07-09-2026 - Versace in Lombardia
Join to apply for the E-commerce & Omnichannel Data Analyst role at Versace
Join to apply for the E-commerce & Omnichannel Data Analyst role at Versace
Versace is one of the most recognizable names in the world. The luxury House immediately became a leader in fashion and culture following its founding in 1978.
Versace is led by Emmanuel Gintzburger as CEO and the design team is under the leadership of the Chief Creative Officer, Dario Vitale. Donatella Versace remains the Chief Brand Ambassador for Versace since April 1st, 2025.
The E-commerce & Omnichannel Data Analyst will join the Data Analytics Team, reporting into the Global Ecommerce & Omnichannel Data Science & Business Analytics Manager.
This role is crucial in supporting the business through in-depth and insightful data analysis, generating reports and recommendations for top management and the E-commerce & Omnichannel team.
Your Contribution:
- Analyze digital and omnichannel business and digital marketing performance, creating reports and dashboards to share results with a wide range of stakeholders.
- Monitor web analytics and KPIs related to the e-Commerce channel to track performance, generate valuable insights, and identify areas for improvement.
- Collaborate with multiple teams (Merchandising, Media, CRM, Regional teams) to consolidate findings, provide actionable insights, and drive data-informed decisions.
- Manage and organize work, including collaboration with the digital agencies on the data visualization platforms.
- Analyze key business KPIs using Versace's analytics tools (GA4, Adobe Analytics, OBIEE, etc.).
- Proactively identify business challenges, develop data-driven solutions, and communicate recommendations effectively.
- Leverage data analysis skills to identify trends, patterns, and anomalies that can inform business strategy and improve performance.
- Build and maintain data models and datasets to support reporting and analysis needs.
- Analyze large datasets using SQL and similar l