Insight Analyst

Company Description/ Business Unit

Location: London (hybrid working 3 office days per week)

Employment Type: Permanent, full time

Additional Benefits: Annual Bonus

Think the AA is just about roadside assistance? Think again.

For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as an Insight Analyst, means you'll play a crucial role in our success and be part of this exciting motoring journey.

Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change.

#LI-Hybrid

This is the job

Ready to Turn Data into Decisions?

Do you love uncovering stories hidden in numbers? At The AA, we’re on the lookout for a curious, analytical mind who’s eager to make an impact. As an Insight Analyst, you won’t just crunch data, you’ll transform it into insights that shape real business decisions.

This role is all about exploration, collaboration, and innovation. You’ll work alongside senior analysts, data scientists, and BI developers to create insight-led solutions that drive change.

What will I be doing?

• Deliver hands-on analysis using SQL and Python/R to support business decision-making, including exploratory analysis and basic statistical modelling.
• Translate business questions into clear analytical tasks in collaboration with senior analysts and stakeholders.
• Apply basic modelling and predictive techniques to identify trends, patterns, and actionable insights.
• Support the development of insight-led data products, working closely with data scientists and BI developers.
• Partner with data engineering to ensure data quality, availability, and reliable analytical outputs.
• Document analytical approaches and contribute to knowledge-sharing and continuous improvement across the analytics team.

What do I need?

• Proven experience in data analysis using SQL and Python or R, working with large and complex datasets.
• Working knowledge of basic analytical and modelling techniques (e.g. regression, clustering, classification).
• Strong analytical mindset and attention to detail, with a genuine passion for working with data.
• Ability to communicate insights clearly to both technical and non-technical audiences.
• Curious, proactive, and eager to learn, with a collaborative, team-oriented approach to problem solving.
• Degree in a quantitative discipline (or equivalent experience); familiarity with agile ways of working and relevant analytics certifications are advantageous.

Additional information

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

• 25 days annual leave plus bank holidays + holiday buying scheme
• Worksave pension scheme with up to 7% employer contribution
• Free AA breakdown membership from Day 1 plus 50% discount for family and friends
• Discounts on AA products including car and home insurance
• Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
• Company funded life assurance
• Diverse learning and development opportunities to support you to progress in your career
• Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

#LI-HH