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- Tasks: Dive into data analysis using SQL and Python/R to drive impactful business decisions.
- Company: Join The AA, a diverse and inclusive company that values your unique contributions.
- Benefits: Enjoy 25 days annual leave, a pension scheme, and discounts on various products.
- Why this job: Make a real difference by turning data into actionable insights with a supportive team.
- Qualifications: Experience in data analysis and a passion for learning new analytical techniques.
- Other info: Access to diverse learning opportunities and a clear path for career growth.
The predicted salary is between 30000 - 48000 £ per year.
The Insight Analyst plays a key role in delivering high-quality analysis and insight to support decision-making across the AA. This is a hands-on role focused on data exploration, reporting, and analytical delivery. You will work closely with senior analysts, principal analysts, business partners and stakeholders to understand business questions and deliver actionable insights. You will be supported by senior team members and have a clear development path to grow your technical and business skills.
You will collaborate with data scientists and BI developers to support the development of insight-led data products, applying basic modelling techniques and contributing to the analytical foundation of these solutions.
What will I be doing?
- Deliver hands-on analysis using SQL and Python/R to support business decisions, including basic modelling and statistical techniques.
- Work with senior analysts to translate business questions into analytical tasks.
- Apply basic modelling techniques to support analytical tasks and generate predictive insights.
- Support the development of insight-led data products in collaboration with data scientists and BI developers.
- Collaborate with data engineering to ensure data quality and availability.
- Document analytical processes and share knowledge with the wider team.
- Participate in exploratory analysis to identify trends, patterns, and opportunities.
- Receive mentoring and coaching from senior analysts to support your development.
- Contribute to a culture of continuous improvement and analytical excellence.
What do I need?
Capability, Knowledge and Experience:
- Experience in data analysis using SQL and Python or R.
- Ability to work with large datasets and apply analytical techniques.
- Familiarity with basic modelling approaches such as regression, clustering, or classification.
- Strong attention to detail and a passion for data.
- Good communication skills and ability to explain findings clearly.
- Willingness to learn and take on new challenges.
- Familiarity with agile ways of working is a plus.
Education and Qualifications:
- University degree in a quantitative field preferred.
- Relevant certifications in analytics or data science tools are an advantage.
Personal Characteristics:
- Curious and eager to learn.
- Collaborative and team oriented.
- Organised and able to manage time effectively.
- Proactive and enthusiastic about using data to solve problems.
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.
Insight Analyst - NonVolume in Basingstoke employer: The Automobile Association
Contact Detail:
The Automobile Association Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Analyst - NonVolume in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the AA on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects. We want to see your analytical thinking in action!
✨Tip Number 3
Show off your curiosity! During interviews, ask insightful questions about the team’s projects and challenges. This not only shows your interest but also helps you understand how you can contribute.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the AA team.
We think you need these skills to ace Insight Analyst - NonVolume in Basingstoke
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with SQL and Python or R in your application. We want to see how you've used these tools to tackle real-world data problems, so share specific examples that showcase your analytical prowess!
Tailor Your Application: Don’t just send a generic CV and cover letter! Take the time to tailor your application to the Insight Analyst role. Mention how your skills align with the job description and how you can contribute to our team at StudySmarter.
Be Curious and Collaborative: We love candidates who are curious and eager to learn! In your application, express your enthusiasm for data exploration and collaboration. Share any experiences where you worked with others to solve complex problems or deliver insights.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at The Automobile Association
✨Know Your SQL and Python/R
Make sure you brush up on your SQL and Python or R skills before the interview. Be ready to discuss specific projects where you've used these tools, and think about how you can apply them to real business questions. Practising some coding challenges can also help you feel more confident.
✨Understand Basic Modelling Techniques
Familiarise yourself with basic modelling approaches like regression, clustering, or classification. Be prepared to explain these concepts in simple terms and how they can be applied to generate insights. Having a couple of examples from your past experience will show that you can translate theory into practice.
✨Show Your Curiosity
During the interview, demonstrate your eagerness to learn and explore data. Ask insightful questions about the company's data practices and how they approach analytical challenges. This will not only show your interest but also your proactive attitude towards problem-solving.
✨Communicate Clearly
Good communication is key, especially when explaining complex findings. Practice summarising your analytical work in a way that's easy to understand. Think about how you would present your insights to non-technical stakeholders, as this will be crucial in your role.
