Fashion Category Assistant | Data Insight & Flexible Hours

Lagardère AWPL; Sydney; Híbrido; AUD 65.000 - 95.000; Tempo integral

Benefícios oferecidos por esta vaga

Flexible Working

Staff Discounts

Career Development

Paid Parental Leave

Employee Referral Program

Wellbeing Leave

Employee Assistance Program

Resumo da vaga

Lagardère AWPL, a leading travel retail operator in the Pacific, seeks an Assistant Category Manager to support the Fashion category. You will handle data, reports, and supplier information while working closely with the Category Manager to optimise ranges across 150+ stores.

This role is ideal for someone with a data-driven mindset, strong Excel skills, and a passion for retail analytics. Flexible work options and career development are offered.

Qualificações

• Tertiary qualifications in marketing, business or related fields.
• Previous experience in a similar retail role is a real plus.
• Strong attention to detail and ability to manage multiple priorities in a fast-paced environment.

Responsabilidades

• Ensure accuracy and maintenance of product databases, including loading and clearing data.
• Efficiently conduct stock replenishments in support of the buying team.
• Assist in range optimisation exercises.
• Monitor sales and stock levels.
• Set up promotions information in company systems.
• Prioritise, manage and resolve data conflicts, promotional processing issues and queries, pricing queries, invoicing and store queries.
• Oversee and manage rebates.
• Manage ad hoc administration projects.

Conhecimentos

Data analysis

Attention to detail

Formação

Tertiary qualifications in marketing or business

Ferramentas

Power BI

SAP

Descrição da vaga

Lagardère AWPL, a leading travel retail operator in the Pacific, seeks an Assistant Category Manager to support the Fashion category. You will handle data, reports, and supplier information while working closely with the Category Manager to optimise ranges across 150+ stores.

This role is ideal for someone with a data-driven mindset, strong Excel skills, and a passion for retail analytics. Flexible work options and career development are offered.