Apprentice Data Analyst
FRONTLINE LIMITED
Peterborough (PE1 5DD)
Closes on Friday 28 November 2025
Posted on 16 October 2025
Contents
Summary
You will actively support the wider business with all their data wants, needs and processes. You'll be involved in decision-making processes by transforming, interpreting, and presenting data. This role is your opportunity to develop key analytical skills, understand our data infrastructure, and support our team in making data-driven decisions.
- Wage
-
£22,750 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday - Friday, 9.00am - 5.30pm with 1 hour for lunch
37 hours 30 minutes a week
- Start date
-
Monday 12 January 2026
- Duration
-
1 year 6 months
- Positions available
-
3
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
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, maths will not be eligible.
You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.
Are you keen to begin your career in data analytics?
Are you the sort of person who likes to use data to answer questions and drive action?
Are you someone who can think creatively & innovatively in solving a new problem?
Do you have strong planning, organisation, & communication skills?
If the answer to all these questions is yes, we may have just the opportunity for you, as we’re looking for apprentice data analysts to join our Data Analytics and Data Governance teams.
If you have the passion and the raw talent necessary for working in this field, we’ll provide technical training and development opportunities for you to build a broad range of skills and knowledge in data analytics.
What does the role involve?
You’ll enable the business to make quicker, smarter decisions through:
- Developing reporting solutions which facilitate data exploration to answer questions about what has happened and why
- Ad hoc exploratory analysis to provide deeper insight into the reasons behind what is happening
- Forecast analytics to provide insight as to what is likely to happen in the future
- Analytically driven recommendations for courses of action to achieve specific desired business objectives
- Working collaboratively with data suppliers to ensure they provide accurate, complete and timely customer and sales data
- utilising a variety of analytical techniques and tools
- extracting, cleaning, and preparing data for subsequent analysis
acquiring and applying statistical techniques for data analysis - You’ll also support user training and education regarding understanding of our data and use of BI tools
Requirements:
- Proven interest in data analysis (this could be from formal studies, self study or the workplace)
- Excellent communication and collaboration skills
- Ability to work independently and in a team environment
- Detail-oriented and strong attention to accuracy and completeness
- Exceptional problem-solving skills
- Willingness to learn and continuously improve technical and professional skills
- Competency with Microsoft office applications including Excel
Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Power BI / Tableau etc) would be an advantage but not essential.
Where you'll work
Stuart House (1st Floor)
St John's Street
Peterborough
PE1 5DD
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
DIGITAL NATIVE (UK) LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
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 will undertake a Level 4 Data Analyst Apprenticeship where you will learn the hands-on skills to extract data from range of sources and systems, model the data and store it in a data store, profile and analyse the data before telling a story with it and making recommendations
- You’ll be registered as a member with the British Computer Society and be on a fast track to an industry recognised qualification and your dedicated industry coach will support you through a blended approach that will include remote, in person, 1-2-1 and group learning
Requirements
Essential qualifications
GCSE in:
Desirable qualifications
A Level 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
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- Non judgemental
- Patience
About this employer
We are The Frontline Group, the UK’s leading retail sales, marketing and distribution company working within publishing and home entertainment. We pride ourselves on our honesty and integrity, we place client value at the centre of every decision we make and are constantly finding new ways to overcome challenges. We are committed to working and developing people who work hard to achieve greatness. If you are someone who enjoys problem solving, challenging ideas and has an analytical approach then this role could be for you.
https://frontlinedistribution.co.uk (opens in new tab)
Company benefits
25 days holiday plus bank holidays (pro rata) Confidential Employee Assistance Programme Coaching with accredited coaches Hybrid Working 2 paid days to volunteer for a registered charity
After this apprenticeship
- Ongoing employment and continuous career development
Ask a question
The contact for this apprenticeship is:
DIGITAL NATIVE (UK) LIMITED
The reference code for this apprenticeship is VAC1000346926.
Apply now
Closes on Friday 28 November 2025
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