Data Analyst Level 3 Apprenticeship 2027 - Cheltenham
Howden · London · SW19 7PA
About the role
Turn Data into Real Business Impact ๐โจ
Ready to earn, learn, and launch your career? This is more than your first job. Youโll gain real experience, work towards a recognised qualification, and build skills that will shape your future.
Data is at the heart of everything we do. From understanding sales performance to identifying trends in claims data, our Data Science and Analytics team helps colleagues across Howden turn complex information into meaningful insights that drive better business decisions.
As a Data Analyst Apprentice, you'll learn how to work with real business data, uncover patterns, solve problems, and create reports and dashboards that make a genuine impact. You'll develop the analytical and technical skills needed to work with data confidently, while learning tools such as Power BI, SQL, and Python. ๐ป๐
Youโll join Howden on a permanent role and complete an 18-month development programme designed to develop your technical knowledge, professional skills, and confidence to kick-start your career.
What youโll be doing? ๐ค
You will begin with a structured induction before joining our Data Science & Analytics team, where you will work alongside experienced colleagues and gradually take on more responsibility.
During the programme, you'll:
- Gain exposure to both data analytics and data science, helping you understand how analysis, reporting, and data models can be used to solve different business problems.
- Support a range of live data projects for different areas of the Retail business.
- Analyse datasets to understand what the information is telling us, looking for patterns, trends, gaps, or unusual results that may need further investigation.
- Clean, organise, and check data before it is analysed, spotting errors or inconsistencies and helping make sure the information is accurate and reliable.
- Learn how to turn your findings into clear reports for key business stakeholders.
- Build your technical skills by learning to use tools such as Power BI, SQL, and Python.
Who are we looking for? ๐
No insurance experience is needed; weโll teach you everything you need to know! ๐
Youโll be:
- Interested in data, technology, IT, or coding and eager to learn more. ๐ง
- Comfortable working with numbers and using logical thinking to understand problems.
- A strong problem solver who enjoys spotting patterns and finding practical solutions. ๐ก
- Attentive to detail, particularly when checking information and identifying errors. โ
- Able to communicate your ideas clearly and confidently. ๐ฃ๏ธ
- Someone who is keen to collaborate with different people across the business. ๐ค
- Organised and able to manage several tasks or projects at the same time. ๐๏ธ
To be eligible for our apprenticeship, you must:
- Have the full and unrestricted right to work in the UK. ๐ฌ๐ง
- Have lived permanently in the UK for the last 3 years.
- Have achieved a grade C/4 in GCSE English and B/5 in GCSE Maths. ๐ฏ
- Not already hold a qualification that significantly overlaps with the content of this apprenticeship.
Application process ๐
Our application process is designed to help you show your potential, not to test what you already know!
- Online application form โ no CV required: We believe you're more than just a document, so we wonโt ask you to submit a CV. Please upload a blank document on the application form.
- Online gamified assessment: Weโve created games that will help us understand your natural strengths and how you approach different situations. There are no right or wrong answers. You can complete this stage on your phone or laptop, whichever suits you best! ๐ฎ๐ฑ
- Pre-recorded video interview: You will record your answers to a few questions using your phone or laptop, giving you the chance to tell us more about yourself in your own time in a relaxed setting. ๐ฌ
- Assessment centre: Our final stage is an in-person assessment centre at one of our offices. You'll take part in some fun group activities and meet our team in a relaxed setting. This day is all about getting to know you better and for you to see what it's like to be part of Howden and experience our culture. We'll cover all your travel costs for this day, because where you are now, shouldnโt hold back your future! ๐
Why should you apply? โจ
At Howden, people are at the heart of everything we do. As an employee-owned business, we believe success is built through collaboration, learning, and supporting one another. You'll gain exposure to an exciting global industry, receive structured development throughout the summer, and build relationships that could shape your future career.
You'll also benefit from:
- ยฃ23,000 and a generous pension scheme. ๐ฐ
- Completing fully funded professional qualifications relevant for your role. ๐
- Structured learning and development through our 18-month apprenticeship development programme.
- 25 days' annual leave, plus bank holidays. โ๏ธ
- Access to discounted personal health policies, wellbeing support, and a range of employee benefits and insurance products. โค๏ธ
Ready to apply? ๐
Want to know what life at Howden is really like? Visit our Early Careers hub to explore our culture, learn more about the insurance industry, and get practical tips to help you prepare for our recruitment process. It's also a great way to work out which career path suits you best. ๐
You can also follow our TikTok accounts, @earlycareersjo and @millieinsurancecareers, for behind-the-scenes insights into life at Howden, career advice, and application tips from our Early Careers team. ๐ฒ
Please read before submitting: You may only apply to one apprenticeship programme for our 2027 intake. Submitting duplicate applications will result in additional applications not being considered.
How to apply: To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment. โณ
Key responsibilities
- Support a range of live data projects for different areas of the Retail business.
- Analyse datasets to identify patterns, trends, gaps, or unusual results.
- Clean, organise, and check data for accuracy and consistency.
- Turn findings into clear reports for key business stakeholders.
- Create reports and dashboards that make a genuine impact.
