Summary
At Babcock, data is at the heart of everything we do. This two-and-a-half-year apprenticeship will give you the essential analytical skills you need to uncover insights, make an impact, and help us make informed, reliable decisions that shape the future of our business.
Wage
£21,641 a year
Year 2: £27,412 Year 3: £32,263
Training course
Data analyst (level 4)
Hours
Monday to Friday 9am to 5pm
35 hours a week
Start date
Tuesday 1 September 2026
Duration
3 years
Positions available
2
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
* We’re on a mission to become a data-driven organisation, leveraging data to boost productivity, enhance project delivery, and foster a data-first culture that values data-led decision-making.
* As a Data Analytics Apprentice, you'll have the opportunity to work on a wide variety of projects, from predictive analysis and mathematical modelling to data visualisation and web development. You’ll partner with teams across the business to develop analytical insights that will inform strategy, improve operational efficiency, and help us deliver on our purpose – to create a safe and secure world, together.
* Throughout the programme, you’ll learn to identify and cleanse data from various sources, create performance dashboards, and produce statistical reports. You’ll work closely with stakeholders to ensure data is accurately represented, solving real business challenges with your analysis. By developing strong technical skills and a deep understanding of Babcock’s operations, you’ll play a crucial role in embedding data-led best practices across the organisation.
Where you'll work
Devonport Royal Dockyard
Devonport
Plymouth
PL1 4SG
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 analyst (level 4)
What you'll learn
Course contents
* Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
* implement the stages of the data analysis lifecycle
* apply principles of data classification within data analysis activity
* analyse data sets taking account of different data structures and database designs
* assess the impact on user experience and domain context on data analysis activity
* identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
* undertake customer requirements analysis and implement findings in data analytics planning and outputs
* identify data sources and the risks and challenges to combination within data analysis activity
* apply organizational architecture requirements to data analysis activities
* apply statistical methodologies to data analysis tasks
* apply predictive analytics in the collation and use of data
* collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
* use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
* collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
* select and apply the most appropriate data tools to achieve the optimum outcome
* Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
* implement the stages of the data analysis lifecycle
* apply principles of data classification within data analysis activity
* analyse data sets taking account of different data structures and database designs
* assess the impact on user experience and domain context on data analysis activity
* identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
* undertake customer requirements analysis and implement findings in data analytics planning and outputs
* identify data sources and the risks and challenges to combination within data analysis activity
* apply organizational architecture requirements to data analysis activities
* apply statistical methodologies to data analysis tasks
* apply predictive analytics in the collation and use of data
* collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
* use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
* collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
* select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
You'll study to obtain the Level 4 Data Analytics apprenticeship standard.
Your training will take place through a combination of virtual learning environments and onsite training at our Devonport facility. Throughout your programme, you’ll build up a personal portfolio of work and have the opportunity to take part in two hackathons, before bringing everything together during an eight-week, real-world project.
Requirements
Essential qualifications
GCSE in:
* Any subject (grade Grade C or above)
* English (grade Grade C or above)
* Maths (grade Grade C or above)
A Level in:
* Any subject (grade Grade C or above)
* Any subject (grade Grade C or above)
* Any subject (grade Grade C or above)
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
* Analytical skills
Other requirements
Many of our apprenticeship programmes are subject to Security Clearance and Trade Control restrictions which mean that your place of birth, nationality, citizenship, or residency you hold or have held may impact which programmes you are eligible for. For this programme, you must be able to achieve Baseline Personnel Security Standard (BPSS) and Security Check (SC) clearance. Further details are available at United Kingdom Security Vetting: