At a Glance
- Tasks: Analyse customer data to uncover insights and drive loyalty strategies.
- Company: Join KFC UK, a leading brand in the fast-food industry.
- Benefits: Enjoy competitive pay, flexible working options, and career development opportunities.
- Other info: Collaborative team environment with opportunities for growth and innovation.
- Why this job: Make a real impact by shaping customer experiences and driving loyalty.
- Qualifications: Experience in data analysis and a passion for understanding customer behaviour.
The predicted salary is between 29700 - 36300 £ per year.
KFC UK is seeking a Data Analyst, Loyalty & CRM to understand customers, behaviours and what keeps them coming back. You will sit in the Data & Analytics team and partner with Loyalty, CRM and Marketing to analyse customer, transactional and marketing data and uncover insights that shape what we do next.
You’ll build reporting and dashboards with Power BI, develop customer segmentation and behavioural analysis, and work with cross-functional teams to turn data into practical recommendations.
Customer Insights & Loyalty Analyst in Woking employer: Kentucky Fried Chicken (KFC)
KFC is an excellent employer that prioritises a vibrant work culture and employee development, making it an ideal place for those passionate about the hospitality industry. With opportunities for growth and a focus on teamwork, you will thrive in a supportive environment where your contributions directly enhance guest experiences. Located in the UK, KFC offers a dynamic setting that encourages innovation and excellence in service.
Contact Details:
Kentucky Fried Chicken (KFC) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Customer Insights & Loyalty Analyst in Woking
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We think you need these skills to ace Customer Insights & Loyalty Analyst in Woking
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
