Data Analyst Apprenticeship - Manchester

Brother International Europe

AudenshawManchester (M34 5JE)

Closes in 10 days (Monday 16 February 2026)

Posted on 5 February 2026


Summary

Brother International Europe are looking for a new apprentice Data Analyst. You will be studying towards your Data Analyst Level 4 Apprenticeship.

Training course
Data analyst (level 4)
Hours
Monday-Friday

36 hours a week

Start date

Monday 23 February 2026

Duration

1 year

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

An exciting opportunity at Brother’s European HQ in Manchester for a Data Analyst Apprentice to join our Labelling & Mobile team. You’ll support the department, Japan HQ, and local sales offices through data analysis and administration.

 

You’ll be part of Brother’s Labelling & Mobile team at our European HQ in Manchester, working closely with Labelling Management and local sales offices. This role offers hands-on experience in sales analysis, KPI reporting, budgeting, and promotion tracking. You’ll gain advanced Excel skills, learn to manipulate large datasets, create visual reports, and present insights that influence strategic decisions. Additionally, you’ll develop knowledge of ERP systems, SAP, and market trend analysis, while supporting product development and pricing strategies. It’s a great opportunity to build analytical, technical, and business support expertise in a dynamic, international environment.

 

Your role will include; 

  • Sales Analysis: To investigate historic sales results and forecasts within the Brother ERP systems, providing analysis in Excel to Labelling Management including; Mass deal coordination and monitoring price support, Pan European customer sales analysis, Product development sales analysis, Production and stock analysis, Price monitoring and preparing price structures.
  • Key Performance Indicator reporting: Establish KPI reports for Local offices and Labelling Management to monitor and drive relevant behaviour in key strategic areas.
  • Budgeting: To support the budget process through Quarterly supplies forecast support, preparing and updating Target sheets, uploading data to SAP and performing data validation checks and investigation.
  • Promotion Analysis: Prepare and update monthly sales reporting in Excel and price support administration.
  • Supplies Sales Analysis: To monitor Brother and 3rd party supplies sales and print volume trends through market data and App logs providing analysis to Labelling Management.
  • Office Admin: Assisting with meeting organisation, maintaining internal price sheets and general department admin support

Benefits Include:

  • Free on-site parking
  • Hybrid & Flexible Working
  • 25 days holiday plus bank holidays with the option to purchase an additional 5 days per year
  • Industry leading pension scheme with company contributions up to 10%
  • Training and career development opportunities
  • Life Assurance (4x annual salary)
  • Simply Health cash plan (50% subsidised)

 

Where you'll work

AudenshawManchester
M34 5JE

Training

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

Training provider

PARAGON EDUCATION & SKILLS 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

Founded in 1974, we've been delivering market-leading learning and talent solutions for over forty years. We’re privileged to help individuals unlock their potential and realise the value of their skills and talents. As one of the UK's largest and longest-established apprenticeship and training providers, we're proud to help organisations and individuals unlock their potential, and make skills really work for them. Upon completion of this 14 Month Apprenticeship, you will have obtained your Data analyst (level 4) Apprenticeship.

Requirements

Essential qualifications

Other in:

  • x5 GCSE (grade )
  • x3 Alevel (grade )

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Administrative Skills
  • Analytical Skills
  • Attention to Detail,

Other requirements

The closing date guidance, if a successful candidate is found before the advertised dates, the advert will close early.

About this employer

As a member of the multinational Brother Group, Brother UK is a supplier of technology solutions, helping businesses deliver greater productivity and efficiency through documentation, digitisation, collaboration and mobile work solutions.

After this apprenticeship

There is a possibility of being offered a full time role after successful completion of the apprenticeship.

Ask a question

The contact for this apprenticeship is:

PARAGON EDUCATION & SKILLS LIMITED

The reference code for this apprenticeship is VAC2000013309.

Apply now

Closes in 10 days (Monday 16 February 2026)

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