Level 4 Apprentice Data Analyst (PMO)
United Utilities
Lingley Mere (UU), Lingley Green Avenue, Great Sankey, Warrington (WA5 3LP)
Closes in 23 days (Monday 23 February 2026)
Posted on 29 January 2026
Contents
Summary
Are you ready to live your future? Do you want to be part of building a greener, healthier, and stronger North West? Come and join us! We’ll provide you with industry-leading skills and the experience you need to succeed in your chosen field.
- Wage
-
£20,000 a year
Check minimum wage rates (opens in new tab)
Reward and benefits – There are lots of perks, including a starting salary of £20,000, which will increase each year based on performance
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday.
37 hours a week
- Start date
-
Wednesday 2 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
As a Level 4 Apprentice Data Analyst (PMO), you’ll learn how to:
- Work as part of a dedicated team
- Identify, collect and migrate data to/from a range of internal and external systems
- Manipulate and link different data sets as required
- Interpret and apply data and information security standards, policies and procedures to data management activities
- Collect and compile data from different sources
Where you'll work
Lingley Mere (UU), Lingley Green Avenue, Great Sankey, Warrington
WA5 3LP
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
PROJECTING SUCCESS 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
Your apprenticeship will last 24 months, and successful apprentices will achieve a Level 4 Data Analyst standard, endorsed by the Institute for Apprenticeships.
Your study will be at your apprentice workplace and ad hoc day release.
More training information
As part of your induction, you will attend a five-day residential trip to the Lake District. This is a fantastic opportunity to develop your skills in a beautiful setting with your fellow apprentices. Accommodation and boarding will be provided.
During your apprenticeship, you may need to travel to your place of study. If you’re not local to your place of study, accommodation will either be provided or reimbursed by United Utilities during this period (excluding weekends). Please consider travel requirements and staying away from home if applicable.
Requirements
Essential qualifications
GCSE in:
- 5 GCSE's minimum or equivalent (grade A-C or 9-4)
- Maths, English and a Science or Technology subject (grade A-C or 9-4)
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
- Problem solving skills
- Team working
About this employer
United Utilities is responsible for water and wastewater services in the North West of England. From 2025-2030 we will undertake the largest investment in water and wastewater services in the North West in 100 years - that's more than £13 billion worth of projects. Now, more than ever, we need inspiring future talent to help make the North West stronger, greener, and healthier.
https://www.unitedutilities.com/corporate/careers/apprenticeships/ (opens in new tab)
Company benefits
- 26 days of leave (excluding bank holidays), a £500 contribution towards learning to drive, and many more benefits
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
Every apprentice is guaranteed a permanent position at the end of their scheme. (As long as you meet all necessary standards and behaviour criteria throughout the programme.)
Ask a question
The contact for this apprenticeship is:
PROJECTING SUCCESS LTD
The reference code for this apprenticeship is VAC2000011596.
Apply now
Closes in 23 days (Monday 23 February 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.