Are you curious about data and love working with numbers? Start a career where your insights will make a real impact!

At Anglian Water, we’re passionate about creating a sustainable future for our environment and the communities we serve. Every day, we manage and protect a vast network of assets, delivering essential services to millions of customers, and data is at the heart of how we do it. As a Data Analyst apprentice, you won’t just be working with numbers, you’ll help us make smarter decisions, improve our services, and protect our environment for generations to come. You will explore how artificial intelligence can enhance the way we use data - from automating processes and uncovering deeper insights to helping predict future challenges and opportunities across our networks and services, you’ll be part of work that has a real, visible impact across our region.

Data Analyst Apprenticeship at Anglian Water

You will be at the heart of creating reports, insights and visualisations that bring data to life, as well as explore how AI can be used to enhance analysis, improve accuracy and uncover patterns that might otherwise go unseen. You’ll also help identify trends and opportunities, contributing to decision-making and continuous improvement across the business.

Throughout your apprenticeship, you’ll gain hands-on experience working with real business data – collecting, validating and organising information from multiple sources, using tools and databases to analyse and interpret results, and supporting the creation of reports, insights and visualisations that bring data to life.

Alongside completing your Level 4 Data Analyst Apprenticeship, you’ll develop technical skills and build knowledge in areas such as analytics, data structures and visualisation. Working with teams across the organisation, you’ll learn how to communicate insights clearly, collaborate effectively, and make a meaningful impact from day one.

Training and Progression Pathway

You’ll be enrolled on a remote 2-year programme with QA working towards your Level 4 Data Analyst Apprenticeship while building your technical expertise and developing the skills needed for a long-term career in data.

To be successful as an Apprentice with us you will require:

• Evidence of a Level 3 Qualification (apprenticeship/A-levels/BTEC)

• Evidence of 5 GCSEs including Maths & English at Grade 4 (C) or above

• Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar)

• Full UK driving license by the start of the apprenticeship

• A genuine interest in data, technology and problem-solving

• A willingness to learn and develop new skills

• A collaborative mindset and ability to work effectively with others to achieve shared goals

Why join Anglian Water?

• Gain a Level 4 Data Analyst qualification - fully supported!

• Generous Holiday Allowance - 25 days of annual leave, rising with service, and the option to buy or sell additional leave to suit your lifestyle

• Outstanding Pension Scheme 7% – Anglian Water double-matches your contributions, up to a 14% employer contribution

• Private Health Care – Access to personal private medical insurance

• Flexible benefits to support your wellbeing and lifestyle, and an extensive range of retail discounts

Closing Date: Sunday 14th June 2026

Next Steps: Submit your CV and answer the screening questions to share more about you and your motivations for applying. Shortlisted candidates will then be invited to attend a final stage, in-person assessment centre on Tuesday 7th July 2026 in Huntingdon.

Inclusion at Anglian Water

Inclusion is for everyone, and we are an equal opportunity employer, which means we’ll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we’re committed to creating an environment where all our colleagues feel they belong.