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The AA

Insight Analyst - Roadside

The AA
United Kingdom · Full-time · Not Applicable

Company Description/ Business Unit

Location: Oldbury - 3 days a week, 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?

What We’re Looking For

  • 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.

What You’ll Bring

  • 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

Why You’ll Love Working Here

  • Impact: Your insights will influence decisions across the AA.
  • Growth: Clear development path, mentoring, and opportunities to learn advanced techniques.
  • Collaboration: Work with talented analysts, data scientists, and BI developers.
  • Innovation: Be part of a team that’s shaping the future of data-driven decision-making.

Additional information

Why You’ll Love Working With Us

At The AA, We Don’t Just Value What You Do—we Celebrate It! When You Join Our Team, You’ll Enjoy a Range Of Perks Designed To Make Life Better, Inside And Outside Of Work

  • Time to Recharge – 25 days annual leave (plus bank holidays!) and the option to buy extra days.
  • Future-Proof Your Finances – Worksave pension scheme with up to 7% employer contribution.
  • Peace of Mind on the Road – Free AA breakdown cover from Day 1, plus 50% off for family and friends.
  • Big Savings – Discounts on AA products like car and home insurance.
  • Shop, Travel & More – Access to an employee discount scheme with healthcare deals, holiday offers, and even a car salary sacrifice scheme.
  • We’ve Got You Covered – Company-funded life assurance and a 24/7 remote GP service for you and your family.
  • Grow With Us – Diverse learning and development opportunities to help you take your career to the next level.
  • Support When You Need It – Dedicated Employee Assistance Programme for life’s ups and downs.

And that’s just the start—there’s so much more waiting for you!

Be Yourself. Belong.

We’re proud to be an equal opportunities employer. Diversity isn’t just a buzzword here—it’s part of who we are. We welcome everyone and actively encourage people from all backgrounds to join us. With five employee communities, you’ll find spaces to connect, share, and drive positive change. At The AA, you can be yourself, feel empowered, and truly belong.

Key Skills

Ranked by relevance

sql python
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Posted
Dec 16, 2025
Type
Full-time
Level
Not Applicable
Location
Oldbury
Company
The AA

Industries

Motor Vehicle Manufacturing Financial Services Insurance

Categories

Research Analyst Information Technology

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