Seasonal Customer Advisor - Christmas Discounts

Boots; Wilmslow; Sur place; GBP 18 000 - 21 000; Plein temps

Avantages offerts par ce poste

Employee discount across Boots and our

Discounts at nationwide retailers

24/7 counselling and wellbeing support

Résumé du poste

Boots is hiring a Seasonal Customer Advisor for the London area. You will greet customers, help them find gifts and offers, and support store operations during the festive period. This frontline role focuses on friendly, personalised service and delivering a great customer experience.

You will also assist with deliveries, stock replenishment, and ensure the store remains well-presented. The role is temporary with potential for longer-term opportunities based on availability.

Qualifications

• Customer-focused and able to engage with customers to create a positive shopping experience.
• Team player who supports colleagues and adapts to busy periods.
• Balanced workload across service, stock, and shop floor tasks during peak times.

Responsabilités

• Welcome customers and help them find the right products and offers.
• Create memorable customer experiences through friendly, personalised service.
• Process purchases at tills and self-checkouts; assist with stock replenishment.
• Support deliveries and stock organisation in the stockroom.
• Keep store areas tidy and presentable; participate across store areas as needed.

Connaissances

Customer-focused

Team player

Operations ready

Proactive attitude

Resilient

Energy and stamina

Confident asking questions

Comfortable with technology

Description du poste

Boots is hiring a Seasonal Customer Advisor for the London area. You will greet customers, help them find gifts and offers, and support store operations during the festive period. This frontline role focuses on friendly, personalised service and delivering a great customer experience.

You will also assist with deliveries, stock replenishment, and ensure the store remains well-presented. The role is temporary with potential for longer-term opportunities based on availability.