Data Analyst Apprentice

KOHLER MIRA LIMITED

Cheltenham (GL52 5EP)

Closes on Monday 16 February 2026

Posted on 24 November 2025

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Summary

You will join an ever-growing cohort of apprentices across the business and engineering functions all focused on working towards similar goals. We empower our apprentices to strive for achievement with many of them having won awards at nationally recognised events for Sustainability, and recognition awards through their training providers.

• Wage:

  £17,000 a year

  Check minimum wage rates (opens in new tab)

  A starting salary of £17K which will be reviewed annually

• Training course: Data analyst (level 4)
• Hours: Monday to Friday 9am to 5pm

  38 hours a week

• Start date:

  Tuesday 1 September 2026

• 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

In order to develop relevant and transferable skills, you will be enrolled onto a Level 4 Data Analyst apprenticeship, which will support you as you grow in your role. This part-time study will provide you with the opportunity to apply your learning to real-life business projects.   
The placements you complete will give you a broad view of the business and help identify your strengths, with the support of a designated placement mentor.  
 
Placements may include: 

• Supply Chain: This is a large and important function within the business, covering the inbound supply of components all the way through to delivery of finished products to our customers. Supply Chain uses vast amounts of data to ensure that we get our products where they need to be, at the right time, in the most efficient way: from suppliers receiving purchase orders, to the business receiving the components, through to having a finished product produced, packed, and distributed from our warehouse. Some areas within the Supply Chain that you would experience are (but not limited to) Purchasing, Material Control, Continuous Improvement, Logistics and Warehousing.  
   
• Marketing: In the marketing rotation you will be part of a high-performing team that manages all aspects of the marketing mix for a market-leading brand. In a highly varied placement, you could support one of the many digital projects across the business, learning how we use data to understand customer behaviours, use insights from data to create new products and expand into new markets, and how we maximise the sales and profitability of our products.  
   
• Customer Service: In Mira Service, you will have insight into the true voice of our end customers. In this rotation, you will gain an understanding of all aspects of the Service function and how data plays a critical part in us delighting our customers. In this placement you will be supporting projects in (but not limited to): new service introductions, resource optimisation for our Service Engineers and our Contact Centre teams, and analysis on product failures and customer issues, working with our Continuous Product Development team so that we can drive improvements in reliability and performance of our products. 

Throughout each of the placements you will have the opportunity to be involved in: 

• The gathering and cleaning processes for data from various sources, ensuring data integrity and quality 
  The interpretation of results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis 
  Identification of data quality issues and the proposal of data cleansing and enhancement solutions to ensure data is fit for purpose 
• Interpretation of results using different analytical and statistical techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights 
  Identification of Key Performance Indicators (KPIs) and development of metrics to track and measure business performance   
• Development and maintenance of visualisations and dashboard reports to tell a focused story  
• Following organisational data governance, including policies on data access, sharing, dissemination and protection   
• Application of fundamental principles of data ethics and privacy under supervision  
• Personal and professional development is at the heart of a career at Kohler Mira. Regular time for self-reflection and review, and one to ones with your manager will be in place to support you. You will also be able to access, and utilise, our comprehensive Associate training courses and materials. This will support you to regularly review your strengths and areas for development, and for two-way feedback. 

Where you'll work

Cromwell Road
Cheltenham
GL52 5EP

Training

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

Training provider

THE DEVELOPMENT MANAGER LTD

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

Level 4 Data Analyst apprenticeship standard.

Requirements

Essential qualifications

GCSE in:

• English (grade 4)
• Maths (grade 4)

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
• Customer care skills
• Presentation skills
• Administrative skills
• Logical
• Patience

Other requirements

A minimum of 5 GSCEs (A*- C or 9 - 4) to include English, Maths   Successful completion of Level 3 qualification (e.g. A-level, BTEC etc.) with grades (or predicted grades) equating to 96 UCAS points or above (typically 3 Cs at A-level) Suited to students with an interest in any of the following: business, economics, maths, understanding the connected world (technology), sustainability, supporting people  Strong desire to learn and develop, using open thinking and able to easily adapt to new ways of working  Able to demonstrate involvement in extra- curricular activities. This may include:  Hobbies or voluntary work  Previous work experience  Involvement in personal or school-based business initiatives (e.g. STEAM, Young Enterprise etc.)  Good IT skills - a working knowledge of Microsoft Office programs is sufficient, and ability to pick up new software  Ideally able to demonstrate a strong work ethic, e.g. through part-time employment and/or voluntary activities  Key behaviours  Show initiative in different situations  Be curious, experiment and innovate  Be a team player  Take responsibility and be accountable for your actions and decisions  Show an ability to prioritize effectively  Show an ability to listen well and work to improve the experience of our customers

About this employer

Kohler Mira encompasses 3 successful brands: Mira Showers, Rada and Recoup. We have a strong history of apprenticeships and we offer valuable training and experience which benefit both our businesses and the individuals working towards them.   From day one you’re part of the Kohler Mira community – a collaborative, forward focused team with a shared pride in our work and commitment to delight our customers, develop innovative products and services and inspire our people. If you are enthusiastic, ambitious and driven, we challenge you to join our apprenticeship programme as a Data Analyst Apprentice, become a part of our ever-growing apprenticeship scheme, and take advantage of the opportunities we provide to develop your skills.

https://www.mirashowers.co.uk/about-us/early-careers (opens in new tab)

Company benefits

A sign on bonus upon successful completion of your probation Access to company health scheme Support from a dedicated apprentice manager Annual apprentice residential

After this apprenticeship

Opportunities for further education if successful at gaining permanent employment 

Ask a question

The contact for this apprenticeship is:

THE DEVELOPMENT MANAGER LTD

The reference code for this apprenticeship is VAC2000002149.

Apply now

Closes on Monday 16 February 2026

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