Data Technician Apprentice
BEECHFIELD BRANDS LTD
BURY (BL9 5AQ)
Closes in 29 days (Friday 16 January 2026)
Posted on 17 December 2025
Contents
Summary
This role contributes to improving data integrity across the organisation and helps teams make informed decisions by transforming raw data from spreadsheets, systems, PDFs and paper into structured, dependable formats ready for analysis and reporting.
- Wage
-
£14,918.80 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, Shifts to be confirmed.
38 hours a week
- Start date
-
Monday 16 February 2026
- 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
You will learn how to:
- Data collection, formatting, cleaning and standardisation
- Identifying and correcting errors including duplicates, inconsistencies, omissions, and misclassifications.
- Preparing datasets for reporting or further analysis
- Applying basic analytical techniques to organise and summarise data
- Utilising Excel, database tools and other software (as available) to manage data efficiently
- Support data governance, compliance and Cyber Security
- Handling data in a secure and ethical manner in line with organisational and legal requirements
Where you'll work
SILVERPOINT
MOOR STREET
BURY
BL9 5AQ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
NOWSKILLS LIMITED
Training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
More training information
- Apprenticeships include time away from working for specialist training
- You’ll study to gain professional knowledge and skills
Requirements
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Team working
- Initiative
Other requirements
Essential criteria
• A passion for working with data and willingness to learn.
• Attention to detail and accuracy when handling information.
• Basic computer literacy (familiarity with Excel or similar tools).
• Good communication skills, ability to follow instructions, and work collaboratively.
Desirable criteria
• Prior experience with data entry, spreadsheet work or basic database exposure.
• Awareness of data quality concepts and basic analytical thinking.
• Experience working with multiple data sources including non-digital formats (e.g. paper records).
• Familiarity with data tools such as Power BI, SQL or automation tools.
• Demonstrable problem solving and organisational skills.
About this employer
Beechfield Brands operate four leading textile accessory brands, supplied to the rebranding, personalisation, and promotional industry. The brands, Beechfield®, BagBase®, Quadra® and Westford Mill® are distributed through a network of distribution partners operating throughout Europe.
Beechfield Brands products are ‘Designed for Decoration’ with the aim of easy rebranding, by trade re-processors, such as printers and embroiderers. We currently have over 3000 SKUs and approximately 500 styles across our range of headwear, bags, and accessories.
Company benefits
- 22 days holiday increasing with length of service
- Birthday off - Additional to your annual leave
- Modern office space with free parking and free onsite electric vehicle charging points
After this apprenticeship
- The successful candidate may be chosen to have a full-time role after completing their apprenticeship
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000005325.
Apply now
Closes in 29 days (Friday 16 January 2026)
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