Data Insights Apprentice

Location: Burton on Trent (DE14 1NG)
Company: Molson Coors Beverage Company
Closing Date: Friday 15 January 2027
Posted on: 14 October 2026

Summary

You’ll play a key role in helping the business grow and achieve its strategic ambition to be the first choice for our people, customers, and consumers.

Wage: £20,000 a year
Training Course: Data technician (level 3)
Hours: Monday - Friday. Shifts to be confirmed. 35 hours a week
Start Date: Monday 6 September 2027
Duration: 2 years
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
The Data Insights Apprentice will sit in the IT function and is a key member of the team. Some of things you will be learning:

• How data is used in our business
• What can we be doing more with data
• Utilising Excel and Power BI to answer business data related questions
• Evaluating different types of data
• Developing effective visualisation to draw and drive insight
• Data and digital transformation

Where you'll work
Molson Coors HQ
Horninglow Road
Burton on Trent
DE14 1NG

Training

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

Training Provider: MULTIVERSE GROUP LIMITED
Training Course: Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)

What you'll learn

• 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.