Data & Operations Technician Apprentice

Kick-start your career in data and business operations with Testo Industrial Services

As a Data & Operations Apprentice, you'll gain hands-on experience working with customer service, operations and logistics data, supporting the smooth running for the business while developing valuable data and analytical skills.

Wage: £18,000 a year
Training course: Data technician (level 3)
Hours: Monday to Thursday, 8:15am to 5:00pm. Friday, 8:15am to 3:45pm. Lunch break: 1 hour each day. 37 hours 30 minutes a week
Start date: Thursday 29 October 2026
Duration: 2 years
Positions available: 2

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

What you'll do at work

As a Data & Operations Technician Apprentice, you will support the day-to-day operations of the business across order fulfilment and logistics functions. You will work with customer, operational and logistics data to ensure records are accurate, orders are processed efficiently and customers receive excellent service.

This is an excellent opportunity to develop practical data skills while gaining experience in a busy operational environment. You will learn how business data is captured, maintained and used to support decision-making, customer service and operational performance.

Duties will include:

• Processing incoming customer orders and equipment.
• Entering, maintaining and validating customer and operational data within company systems.
• Booking customer equipment onto company databases and management systems.
• Maintaining accurate customer records and ensuring data quality standards are met.
• Monitoring data for discrepancies and supporting corrective actions where required.
• Using business systems to track customer orders and equipment throughout the process.
• Supporting the management of customer orders from receipt through to dispatch.
• Assisting with customer enquiries and providing a high level of customer service.
• Working collaboratively with colleagues across logistics, laboratory and sales teams.
• Receiving, checking and processing customer equipment.
• Supporting shipping and dispatch activities.
• Assisting with import and export administration and customs documentation.
• Liaising with logistics providers regarding collections and deliveries.
• Supporting purchasing and procurement administration.
• Maintaining operational records, documentation and compliance information.
• Supporting health and safety and facilities administration activities.
• Contributing to continuous improvement projects and process efficiencies.

Where you'll work

You can select which locations you want to apply for in your application on Find an apprenticeship.

This apprenticeship is available in these locations:

• STANLEY HOUSE, THE OLD BRICK KILN, MONK SHERBORNE ROAD, RAMSDELL, RG26 5PR
• Unit 1, Armstrong Point, Swan Lane, Hindley, Wigan, WN2 4AU

Training

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

Training provider
THE S&A TRANSFORM GROUP 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.