Data Analytics Apprenticeship

Babcock International

Plymouth, PL1 4SG

Closes on Thursday 20 March

Posted on 8 November 2024


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.

Annual wage
£20,809 a year

Minimum wage rates (opens in new tab)

Year 1: £20,809 Year 2: £26,358 Year 3: £31,022

Training course
Data analyst (level 4)
Hours
Monday - Friday, Shifts to be confirmed

35 hours a week

Possible start date

Monday 1 September

Duration

2 years 6 months

Positions available

4

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

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

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

MULTIVERSE GROUP LIMITED

Your training course

Data analyst (level 4)

Equal to higher national certificate (HNC)

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

Your training plan

  • 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 other subject (grade C/4 or above)
  • English (grade C/4 or above)
  • Maths (grade C/4 or above)

A Level in:

  • any subject (grade C or above)
  • any subject (grade C or above)
  • any subject (grade C or above)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

  • IT skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Data

Other requirements

Many of our early careers roles are subject to Security Clearance and Trade Control restrictions which mean that your place of birth, nationality, citizenship, or residency you hold may impact which roles you are eligible for. You must be able to achieve BPSS (Baseline security) and many of them require you to be eligible for Security Clearance.

About this company

Babcock is an international defence, aerospace and security company operating in our focus countries of the UK, Australasia, Canada, France and South Africa, with exports to additional markets with potential to become focus countries. We meet our customers’ key requirements of affordability, availability, and capability by delivering engineering, support and critical systems to defence and civil markets.

https://earlycareers.babcockinternational.com/ (opens in new tab)

Company benefits

Fully funded qualification, personal development, training and opportunities, minimum 28 days holiday allowance including bank holidays, competitive pension scheme, employee share scheme, flexible benefits including cycle to work scheme.

Disability Confident

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

  • By the end of your apprenticeship, you’ll be ready to take on a variety of roles in Data Analytics at Babcock, where you can expect to earn a competitive salary exceeding £36,000
  • You may also have the option to undertake higher-level qualifications to further your career across a variety of roles and functions

Ask a question

The contact for this apprenticeship is:

MULTIVERSE GROUP LIMITED

The reference code for this apprenticeship is VAC1000286216.

Apply now

Closes on Thursday 20 March

When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.

After signing in, you’ll apply for this apprenticeship on the company's website.

Company’s application instructions

Once you’ve clicked ‘Apply’, you’ll be taken to our application site. Set up a candidate profile and you can apply for roles at Babcock.