Warehouse Data Apprentice

FAME FASHIONS UK LIMITED

LEICESTER, LE4 5EE

Closes in 4 days (Friday 20 September at 11:59pm)

Posted on 2 September 2024


Summary

We have a great opportunity to join Fame Fashion as a Data Administration Apprentice, this is a role within the company where you will be responsible for the general warehouse administrative and data tasks.

Annual wage
£13,260 a year

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday - Friday, 10.00am - 4.00pm

30 hours a week

Possible start date

Monday 23 September

Duration

1 Year 3 Months

Positions available

1

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

  • Inputting Data entry into software
  • Improving and managing software
  • Assisting with general 2/3 hours a day on computer data entry
  • 5 to 7 deliveries
  • Creating labels for stock and deliveries
  • Assist with customer service if there’s no deliveries

Where you’ll work

192-196 MELTON ROAD

LEICESTER

LE4 5EE

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

LEARNING FOR FUTURES LTD

Your training course

Data technician (level 3)

Equal to A level

Course contents
  • Source and migrate data from already identified different sources.
  • Collect, format and save datasets.
  • Summarise and explain gathered data.
  • Blend data sets from multiple sources and present in format appropriate to the task.
  • Manipulate and link different data sets as required.
  • Use tools and techniques to identify trends and patterns in data.
  • Apply basic statistical methods and algorithms to identify trends and patterns in data.
  • Apply cross checking techniques for identifying faults and data results for data project requirements.
  • Audit data results.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent technical documentation using standard organisational templates.
  • Store, manage and distribute in compliance with data security standards and legislation.
  • Explain data and results to different audiences in a way that aids understanding.
  • Review own development needs.
  • Keep up to date with developments in technologies, trends and innovation using a range of sources.
  • Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
  • Operate as part of a multi-functional team.
  • Prioritise within the context of a project.
  • Source and migrate data from already identified different sources.
  • Collect, format and save datasets.
  • Summarise and explain gathered data.
  • Blend data sets from multiple sources and present in format appropriate to the task.
  • Manipulate and link different data sets as required.
  • Use tools and techniques to identify trends and patterns in data.
  • Apply basic statistical methods and algorithms to identify trends and patterns in data.
  • Apply cross checking techniques for identifying faults and data results for data project requirements.
  • Audit data results.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent technical documentation using standard organisational templates.
  • Store, manage and distribute in compliance with data security standards and legislation.
  • Explain data and results to different audiences in a way that aids understanding.
  • Review own development needs.
  • Keep up to date with developments in technologies, trends and innovation using a range of sources.
  • Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
  • Operate as part of a multi-functional team.
  • Prioritise within the context of a project.
  • Your training plan

    • Level 3 Data Technician Apprenticeship Standard qualification
    • Functional Skills in maths and English, if required
    • Apprenticeship training will be delivered online from our Head office Wise Origin College
    • Full support from the tutor for the duration of the Apprenticeship

    Requirements

    Essential qualifications

    GCSE in:

    • English (grade 4)
    • Maths (grade 4)

    Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

    Skills

    • Communication skills
    • Organisation skills
    • Customer care skills
    • Problem solving skills
    • Administrative skills
    • Team working

    About this company

    Fame fashions is a Leicester based clothing retail shop providing clothing for Men, Women and Children.

    https://shopatfame.com/ (opens in new tab)

    After this apprenticeship

    • Option to progress to Level 4 qualification
    • Permanent position after completing Apprenticeship

    Ask a question

    The contact for this apprenticeship is:

    LEARNING FOR FUTURES LTD

    The reference code for this apprenticeship is VAC1000274269.

    Apply now

    Closes in 4 days (Friday 20 September at 11:59pm)

    When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.