Overview

Company description

Location: Oldbury (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 a 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. And the best part? You’ll have mentoring, support, and a clear path to grow your skills and career.

 

What will I be doing?

  • Dive into data using SQL and Python/R to uncover insights and support key decisions.
  • Turn business questions into actionable analysis.
  • Apply modelling techniques to predict trends and opportunities.
  • Collaborate with data scientists and BI developers to build smart, insight-driven products.
  • Ensure data quality and share findings in a way everyone can understand.
  • Explore new ideas, document processes, and help the team continuously improve.
  • Get mentoring and coaching to accelerate your development.

 

What do I need?

  • Experience with SQL and Python or R for data analysis.
  • Comfortable working with large datasets and applying analytical techniques.
  • Familiarity with modelling approaches like regression, clustering, or classification.
  • Strong attention to detail and a genuine passion for data.
  • Great communication skills—you can make complex insights easy to understand.
  • A curious mindset and willingness to learn.
  • Bonus points if you know agile ways of working.
  • A degree in a quantitative field (or equivalent experience).
  • Certifications in analytics or data science tools are a plus.
  • Personal qualities: curious, collaborative, organised, and proactive

 

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-CP1

 

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