Data Insights Apprentice
Molson Coors Beverage Company
Burton on Trent (DE14 1NG)
Closes on Friday 15 January 2027
Posted on 14 October 2026
Contents
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
Minimum wage rates (opens in new tab)
5.5% Target annual bonus, alongside a comprehensive benefits offering designed to support different needs and life stages.
- 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
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
We’re investing in our people by providing a high level of on and off the job training and dedicate time and resource into your personal development, so you’ll also gain a Level 3 qualification in Data Literacy.
Requirements
Essential qualifications
GCSE in:
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
- Adaptable
- Collaborative
- Curious
- Passionate
- Proactive
About this employer
Molson Coors has been bringing people together over a cold beer for more than 200 years. Our brands include Coors, Carling, Madri Excepcional, Blue Moon, Staropramen, Doom Bar, Aspall and Rekorderlig. We operate in over 100 countries, with 16,000 colleagues who care about great beer, responsible drinking and a more sustainable future.
http://www.molsoncoors.com (opens in new tab)
Company benefits
Benefits are flexible and include health, dental and vision coverage, a pension with up to 10% employer match, wellbeing support, an Employee Assistance Programme, life leave, and 31 days’ annual leave plus 3 bank holidays, with the option to buy or sell additional holiday.
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
- Potential for employment within the industry, or seek further education once qualified
Ask a question
The contact for this apprenticeship is:
Molson Coors Beverage Company
Rebecca Marandola
rebecca.marandola@molsoncoors.co.uk
The reference code for this apprenticeship is VAC2000059167.
Apply now
Closes on Friday 15 January 2027
After signing in, you’ll apply for this apprenticeship on the company's website.