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- Tasks: Analyse customer data to drive strategic business decisions and enhance customer understanding.
- Company: Join the AA, a beloved brand transforming data into a superpower for better services.
- Benefits: Enjoy 25 days leave, free breakdown membership, discounts, and diverse learning opportunities.
- Why this job: Be part of a modern team driving meaningful change with cutting-edge data technology.
- Qualifications: Degree in STEM or equivalent experience; proficient in SQL, knowledge of Python/R is a plus.
- Other info: Hybrid working model with a focus on diversity and inclusion in the workplace.
The predicted salary is between 28800 - 43200 £ per year.
Location: Oldbury (hybrid working 3 office days per week)
Employment Type: Permanent, full time
Are you passionate about data and eager to make a significant impact? The AA is a well-loved brand with a range of driver services much wider than most people realise. We have an enviable set of data assets from breakdown, service, repair, insurance, telematics, digital interactions, car dealers, and driving school! We’re focused on making Data our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues, and shareholders.
As a Customer Data Insight Analyst, you’ll be at the forefront of delivering detailed customer and product insights that drive strategic business decisions. Your role will involve using advanced mathematical and analytical methods to solve complex business problems and enhance decision-making processes.
You’ll collaborate closely with various business units to provide a deep understanding of customer behaviour, risk, and value, ultimately contributing to the profitable management of customers through improved acquisition, retention, cost to serve, and effective cross-sell/upsell strategies.
What will I be doing?
- Deliver customer analysis to support business decision-making and tactical delivery.
- Provide analytical input for developing customer strategy, marketing strategy, and product development.
- Utilise data analysis techniques and tools to deliver actionable customer intelligence efficiently.
- Collaborate with business units to provide a comprehensive understanding of the customer base and quantify commercial opportunities.
- Utilise statistical models to understand customer risk, value, and behaviour, ensuring effective use in marketing campaigns.
- Identify data quality issues and suggest improvements to data structures, while project managing detailed analysis programmes.
What do I need?
- Degree within a STEM subject and/or proven demonstrable equivalent working experience within data/insight analytics, data mining and statistical techniques.
- Proficient in SQL; knowledge of Python/Databricks/R is desirable.
- Demonstrable competence in delivering actionable customer intelligence.
- Strong analytical, decision-making, and problem-solving skills.
- Ability to translate complex data and concepts into easy-to-understand formats.
- Excellent communication and presentation skills, with the ability to engage with management.
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.
Customer Data Insight Analyst employer: Automobile Association
Contact Detail:
Automobile Association Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Insight Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as SQL and any knowledge of Python or Databricks. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Prepare examples of how you've used data analysis to drive business decisions in previous roles. Be ready to discuss specific projects where your insights led to measurable outcomes, as this will showcase your ability to deliver actionable customer intelligence.
✨Tip Number 3
Research The AA's current data initiatives and their focus on modernising data infrastructure. Understanding their strategic priorities will help you align your answers during interviews and show that you're genuinely interested in contributing to their goals.
✨Tip Number 4
Practice translating complex data concepts into simple terms. Since the role requires excellent communication skills, being able to explain your analytical findings clearly will demonstrate your capability to engage with various business units effectively.
We think you need these skills to ace Customer Data Insight Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Customer Data Insight Analyst. Familiarise yourself with the skills required, such as proficiency in SQL and knowledge of data analysis techniques.
Tailor Your CV: Customise your CV to highlight relevant experience in data analytics, customer insights, and any specific tools mentioned in the job description, like Python or Databricks. Use quantifiable achievements to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how your skills align with the company's goals. Mention your understanding of their focus on making data a superpower and how you can contribute to that vision.
Showcase Communication Skills: Since excellent communication is key for this role, ensure your application reflects your ability to translate complex data into understandable formats. Consider including examples of past experiences where you've successfully communicated insights to stakeholders.
How to prepare for a job interview at Automobile Association
✨Showcase Your Analytical Skills
As a Customer Data Insight Analyst, you'll need to demonstrate your analytical prowess. Be prepared to discuss specific examples of how you've used data analysis techniques to solve complex problems in previous roles. Highlight any experience with SQL or other relevant tools.
✨Understand the Business Context
Familiarise yourself with The AA's services and how data drives their business decisions. During the interview, relate your insights back to how they can impact customer acquisition, retention, and overall strategy. This shows that you’re not just a data expert but also understand the bigger picture.
✨Communicate Clearly
You’ll need to translate complex data into understandable formats for various stakeholders. Practice explaining your past projects in simple terms, focusing on the outcomes and benefits. Good communication skills are essential for this role, so make sure to convey your ideas clearly.
✨Prepare for Technical Questions
Expect questions that test your knowledge of statistical models and data quality issues. Brush up on your understanding of Python, Databricks, or R, as well as any relevant statistical techniques. Being able to discuss these topics confidently will set you apart from other candidates.
