Italian E‑Commerce Assistant: Trading & Localisation

Club L London; Manchester; Hybrid; GBP 21,000 - 30,000; Full time

Benefits offered by this job

Annual bonus scheme

Bi-Annual Dress Allowance

25 days annual leave

Extra day off for your birthday

Flexible working hours around core 10-

Core hours 10-4

Job summary

Club L London is seeking a commercially driven Italian E-Commerce Assistant to grow our presence in Italy. You will execute trading activity, optimise the onsite journey, support campaign launches, and ensure a seamless localised experience for Italian customers.

You will collaborate with cross‑functional teams on growth, translate content, and help improve conversion through data‑driven site enhancements in a fast-paced fashion environment.

Qualifications

• Fluency in Italian and English is essential.
• Degree or relevant experience in a related field is required for entry-level role.
• Knowledge of SEO best practices is desirable.
• Strong copywriting and editing skills are important.
• Proficiency in Microsoft Excel is required.

Responsibilities

• Work with cross-functional teams to identify growth opportunities in the Italian market.
• Own and execute all key trading activity and campaigns for Italy.
• Collaborate with digital marketing teams to ensure campaign consistency across channels.
• Support site presentation, merchandising, and trading/marketing strategy execution.
• Localise product descriptions and marketing content from English to Italian.

Skills

Italian language

English language

Excel

Copywriting

SEO basics

Attention to detail

Teamwork

Education

Degree in relevant field

Tools

Excel

Job description

Club L London is seeking a commercially driven Italian E-Commerce Assistant to grow our presence in Italy. You will execute trading activity, optimise the onsite journey, support campaign launches, and ensure a seamless localised experience for Italian customers.

You will collaborate with cross‑functional teams on growth, translate content, and help improve conversion through data‑driven site enhancements in a fast-paced fashion environment.