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E-Commerce Conversion

Pubblicato il 03-10-2026 - Perrigo in Venezia

At Perrigo, we are driven by our mission to Makes Lives Better Through Trusted Health and Wellness Solutions, Accessible to All. We are proud to be a Top 10 player in the European Consumer Self-Care market and the largest U.S. store brand provider of over the counter and infant formula. Dedicated to providing The Best Self-Care for Everyone, we are the people behind the brands you trust. We Are Perrigo. We are committed to enhancing the wellbeing of our colleagues and consumers alike. We pride ourselves on fostering an inclusive, collaborative culture where each person can experience a sense of belonging.

Join us on our One Perrigo journey as we evolve to win in self-care.

Description Overview
The E-Commerce Conversion & Digital Shelf Specialist plays a key role in optimizing online product visibility, content quality, and conversion performance across Amazon,other marketplace platforms and online players.
The candidate supports the enhancement of the entire shopper journey—from product discovery and search visibility to purchase conversion—through data analysis,



digital shelf optimization, marketplace best practices, and emerging AI-powered solutions.
He/she combines strong analytical skills with hands-on ecommerce experience, leveraging data and insights to improve product performance, drive conversion, and support sustainable business growth. Working cross-functionally with Marketing, Sales, Regulatory, and Retail Media teams, the Specialist contributes to the delivery of best-in-class product content and an outstanding online shopping experience

Scope of the Role
Digital Shelf Optimization
- Monitor and analyze digital shelf performance using Profitero or similar tools.
- Action on key metrics including:
- o Share of Search
- o Content Quality Scores
- o Competitive Benchmarking
- o Pricing and Visibility Performance
- Identify opportunities to improve product discoverability and conversion.

Product Content Excellence
- Support the optimization of Product De

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