Data Technician Apprentice

Summary

Are you analytical, organised and interested in working with data? We're looking for a Data Technician Apprentice to join our team in Bradford and help transform data into meaningful business insights.

Wage

£15,600 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 to Friday, full-time position. Working hours TBC.

37 hours 30 minutes a week

Start date

Tuesday 3 November 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

• Collect, organise and maintain business data from a variety of sources
• Ensure data is accurate, complete and up to date
• Assist with data cleansing and quality checks
• Produce reports, dashboards and spreadsheets to support business performance
• Analyse trends and identify patterns within datasets
• Use Microsoft Excel and other data management tools to manipulate and present information
• Support colleagues by providing accurate data for operational and management reports
• Assist with maintaining databases and ensuring data is stored securely
• Follow GDPR and company data protection procedures

Where you'll work

Bradford
West Yorkshire
BD1 1AA

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)

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.

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
• Attention to detail
• Organisation skills
• Problem solving skills
• Administrative skills
• Team working

Other requirements

• Has a keen eye for detail and enjoys working with numbers and data
• Has strong organisational and problem-solving skills
• Is confident using Microsoft Excel and other Microsoft Office applications
• Has an interest in data analysis, business intelligence or reporting
• Can communicate information clearly and accurately
• Is eager to learn and develop new technical skills