Data Analyst Apprentice
Baxi Heating UK Limited
Warwick (CV34 4LL)
Closes in 13 days (Wednesday 18 March 2026)
Posted on 20 February 2026
Contents
Summary
Your role will be central to the development and success of Baxi, you’ll be working on updating current reports and moving new ones to Power Bi while also exploring new methods for things like forecasting using machine learning/more complex statistical methodology.
- Wage
-
Competitive
Competitive wage offered
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday (9am - 5pm), hybrid working with 2.5 days in the office and 2.5 home based.
37 hours a week
- Start date
-
Monday 7 September 2026
- Duration
-
1 year 6 months
- 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
Across the 18 month programme, you’ll pick up all the skills you need to build a professional future at Baxi.
Where you'll work
Brooks House
Coventry Road
Warwick
CV34 4LL
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
- Training will be a combination of online and in-person at a Birmingham based training centre.
- training will consist of 1 day per week.
Requirements
Essential qualifications
GCSE in:
- English (grade 9-4)
- Maths (grade 9-4)
Desirable qualifications
A Level in:
Degree 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
- Analytical skills
- Logical
- curiosity & confidence
- Resilience
- Data Aptitude
About this employer
Baxi Heating is a leading provider of environmentally friendly and efficient heating solutions across a range of leading domestic and commercial brands. We have over 150 years of experience, pride ourselves on our values and strive for earning lifetime loyalty with our customers. Our established foothold in the heating manufacturing market with a well-respected product portfolio, committed and long-standing customers across both commercial and residential markets and an amazing army of people puts us in a position to lead the way for change, and make a lasting mark on the industry. Do you have a passion and appetite for evolution? Come and join us!
https://www.baxi.co.uk/ (opens in new tab)
Company benefits
- 25 days’ holiday + bank holidays
- Competitive starting salary
- Pension & sick pay
- Staff discounts
After this apprenticeship
As a Data Analyst Apprentice Level 4 at Baxi you’ll be working within the Service Quality & Process Improvement team and develop to become a confident Data Analyst.
Ask a question
The contact for this apprenticeship is:
Baxi Heating UK Limited
Naomi Leugs - Early Careers Partner
apprenticeship.enquiries@baxi.co.uk
The reference code for this apprenticeship is VAC2000016585.
Apply now
Closes in 13 days (Wednesday 18 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.