Data Admin Apprentice

Summary

The Office Administrator - Data Management Apprentice will be responsible for ensuring smooth day-to-day office operations while managing and organising data for various departments. This role involves a blend of administrative support, office management, and data entry tasks to support our dynamic team.

Annual wage

£12,000 a year

Minimum wage rates (opens in new tab)

£12,000 - £13,000 per annum.

Training course

Data technician (level 3)

Hours

Monday to Friday, 9am - 5pm.

35 hours a week

Possible start date

Monday 16 December

Duration

1 year 4 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

Duties:
Office Administration:

Manage front office operations, handling incoming calls, and managing correspondence
Maintain office supplies and inventory, ordering as needed to ensure an efficiently stocked office
Coordinate schedules, appointments, and meetings for staff and management
Assist in organising company events, team meetings

Data Entry and Management:

Perform data entry tasks, ensuring accuracy and consistency in databases and spreadsheets
Regularly update and maintain records, including client information, employee records, and project details
Conduct data checks to ensure quality and integrity of information, identifying and resolving discrepancies

Where you’ll work

UNITS A & B PATTERSON STREET

BLAYDON ON TYNE

NE21 5SD

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

QA LIMITED

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

Why choose our Data Essentials apprenticeship?
QA’s Data Essentials Level 3 apprenticeship can support your business to be more productive with data and adapt to a modern-day workplace.

Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.

QA's Data Essentials Level 3 apprentice will learn to:

Source, format and present data securely using Microsoft Excel
Analyse structured and unstructured data to support business outcomes
Blend data from multiple sources as directed
Communicate outcomes appropriate to the audience
Apply legal and ethical principles when manipulating data

Requirements

Essential qualifications

GCSE in:

any subject --- x3 (grade 4)
English (grade 3)
Maths (grade 3)

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
IT skills
Attention to detail
Organisation skills
Problem solving skills
Team working
Non judgemental
Microsoft Office Suite skills:
Word, Excel, PowerPoint

About this company

The company was born out of a love for the art of candle making and a desire to bring beautifully crafted, high-quality fragrances into homes across the UK. What started as a small venture has grown into a thriving company, offering a diverse range of products that cater to every mood, style, and occasion.

After this apprenticeship

90% of QA Apprentices secure permanent employment after finishing their apprenticeship.

Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks.

Benefits:

A positive and inclusive work environment
Opportunities for professional growth and development
20 days paid leaves/annum plus the public holidays
Free staff car park and great transport links

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC1000277666.

Apply now

Closes in 22 days (Friday 13 December)

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After signing in, you’ll apply for this apprenticeship on the company's website.

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