Data Apprentice

Summary

We are offering an exciting Data Technician Apprenticeship for someone eager to launch a career in research, data management, and digital publishing with added hands-on experience in print and distribution.

Wage

£19,500 a year

Training course

Data technician (level 3)

Hours

Monday - Friday, Shifts to be confirmed.

30 hours a week

Start date

Monday 16 June 2025

Duration

1 year 4 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

Primary Responsibilities - Data & Research (Apprenticeship Focus):

• Research UK government departments and personnel using official sources and databases
• Structure and update organisational and contact data within our internal CMS
• Support data integrity by verifying and validating entries
• Collaborate with editors and publishing teams on data updates and new entries
• Learn how open government data is used in real-world publishing workflows

Secondary Responsibilities – Print & Distribution Support:

• Operate and assist with digital printing (Konica Minolta), perfect binding (Horizon), and trimming (Ideal guillotine)
• Prepare materials for dispatch and assist with small-scale distribution via Royal Mail and couriers
• Help maintain stock, schedules, and general print room operations

Where you'll work

Dandy Booksellers Ltd, 15 Hoopers Yard
London
NW6 7EJ

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

LEARNING FOR FUTURES LTD

Your training course

Data technician (level 3)

What you'll learn

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

Data Technician Level 3 Apprenticeship Standard:

Your training plan:

• All training will be delivered online by Wise Origin, offering flexible, expert-led instruction with interactive sessions and digital resources. This ensures apprentices can develop their skills while balancing work commitments
• We deliver further education and provide employment opportunities through our Apprenticeship Programmes and other funded provisions
• We specialise in Digital, IT & Data Apprenticeships and our aim is to help businesses and individuals make wise decisions for better futures
• Throughout the program, you will receive dedicated support from your tutor to ensure your success
• Upon completing your apprenticeship, you will be awarded the Level 3 Data Technician

Requirements

Desirable qualifications

GCSE or equivalent in:

GCSE Maths and English (grade 4-9)

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
• Attention to detail
• Organisation skills

Other requirements

Must be able to commute reliably to our NW6 office (in-person role only) Must live within 15 miles of NW6