Home > Apprenticeships >Apprentice Retail Supervisor - Tamworth Savers Health and Beauty

Apprentice Retail Supervisor - Tamworth Savers Health and Beauty

APPLY TO THIS JOB

About Apprentice Retail Supervisor - Tamworth Savers Health and Beauty

  • Salary:£15,600.00
  • Working Week:Sunday to Saturday, 5/7 days, the candidate needs to be fully flexible and be able to work a variety of shifts, including early mornings, evenings and weekends.
  • Working Hours:Total hours per week: 30.0
  • Duration:15 Months
  • Start :5-Apr-23
  • Level :Advanced Level 3 (A level)
  • Reference Number :VAC1000145930
  • Available Positions :1 available

Job Description

You’ll learn how to support the management team in the day to day business activities and driving sales You'll the develop and deliver excellent customer service and store standards. You’ll be involved in maximising profit by working hard to reduce shrinkage, damages, till errors and costs

Training and Qualification

Team Leader Level 3 qualfication Training is delivered in store by our own Assessors on a 1:1 basis

Required Skills & Qualification

Communication skills, Customer care skills, Problem solving skills, Presentation skills, Team working

GCSE or equivalent Maths and English (Grade C / 4 or above) Essential

Apprenticeship Standard

Retail team leader Level 3 (A level)

Employer

Savers Health and Beauty

2 George Street Tamworth B79 7LH

Provider

SUPERDRUG STORES PLC

APPLY TO THIS JOB

Related Apprenticeship

Hairdressing Apprenticeship Rush
View
Export Customer Service Apprentice
View
Equine Groom Apprentice - Riding School
View
Apprentice – Property Maintenance Operative Level 2 A & R DESIGN & DECORATE LTD
View
Business Admin Apprentice
View
Audi Paint Technician Apprenticeship - Wakefield SYTNER GROUP LIMITED
View

Scholarships

A New Lightweight Cryptographic Protocol With Public Blockchain Integration for Privacy Preserving Federated Learning in Resource-Constrained IoT Networks at University of Southampton
View Scholarship
Advanced Drivetrain Monitoring through use of Machine Learning and Optical Fibre Speckle Patterns (GE Aerospace) at University of Southampton
View Scholarship
Advanced Rotor-Stator Interactions Through Bearings at University of Nottingham
View Scholarship
Automated Hydrodynamic Characterisation for Seakeeping and Manoeuvring Performance from Focused Experimental Datasets at University of Southampton
View Scholarship
RELATED ARTICLE