Data Business Development Apprentice

Wage: £16,640 for your first year, then could increase depending on your age
Training course: Data technician (level 3)
Hours: Monday - Friday, 8am - 5pm
Start date: Wednesday 24 June 2026
Duration: 1 year 4 months
Positions available: 4

Summary

We’re excited to offer an opportunity to join Careermakers Recruitment as a Data Technician Apprentice. This is a great starting point for someone looking to build a career in data, gaining hands-on experience while working alongside a supportive and fast-paced team.

Wage £16,640 for your first year, then could increase depending on your age National Minimum Wage rate for apprentices Minimum wage rates (opens in new tab) Training course Data technician (level 3) Hours Monday - Friday, 8am - 5pm 40 hours a week Start date Wednesday 24 June 2026 Duration 1 year 4 months Positions available 4

What you'll do at work

Greeting candidates when they come in Assisting with queries, passing on to corresponding division Answering/forwarding calls Inputting data Collecting/chasing candidate documents Creating spreadsheets based upon candidate figures (how many come in from each area? Etc) and sending to the branch manager Handling any further tasks provided by branch manager Maintain a stock count for the PPE stock room (ensure consultants complete the PPE forms and count stock to prepare for new orders) Direct visitors to meeting rooms when necessary Create bags of merchandise for consultants/BDMs to use for client visits Add candidates to online portals for the clients which require this Set up the reception area each morning, print application packs and maintain a tidy environment Put forward new ideas for merchandise/organisation and other areas of the business Print/scan documents for consultants

Where you'll work

Oldham StManchesterM4 1LE

Training

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

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

Data Technician Level 3.

Requirements

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

Communication skillsAttention to detailOrganisation skillsProblem solving skillsAdministrative skillsTeam workingInitiative

About this employer

Careermakers is one of the fastest growing employment agencies that cultivates the best talent and vacancies using our nationwide reach.

While spearheading opportunities from our head office in the Northwest, we unlock potential in all our candidates as we nurture uninterrupted growth for our clients.

https://www.career-makers.co.uk/ (opens in new tab)

After this apprenticeship

The successful candidate may be chosen for a full-time role after completing their apprenticeship.