At a Glance
- Tasks: Transform customer feedback into actionable insights to enhance products and services.
- Company: Join Boots, a leading health and beauty retailer with a commitment to quality.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for personal growth.
- Other info: Collaborative environment with chances to work across various teams.
- Why this job: Make a real difference by driving customer-focused decisions and improving experiences.
- Qualifications: Strong analytical skills and a passion for customer feedback and data.
The predicted salary is between 49500 - 60500 £ per year.
Boots is seeking an Analytics, Data and Reporting Complaints Technologist to turn customer feedback into actionable insights that shape product, service and customer experiences. You will combine customer feedback, data analysis and BI to identify trends, opportunities and drive quality, compliance and customer-focused decisions across the business.
The role is based in Boots UK within the Quality & Technical Services team, offering opportunities to collaborate with cross-functional partners.
Complaints Analytics & Reporting Specialist in Nottingham employer: The Boots Company PLC
Boots Company PLC is an exceptional employer, offering a dynamic work culture in the heart of Glasgow. With award-winning training and clear pathways for career advancement, employees are empowered to grow within a supportive team environment that values customer service excellence. Join us for a rewarding experience where your contributions directly enhance the shopping experience for our customers.
StudySmarter Expert Advice🤫
We think this is how you could land Complaints Analytics & Reporting Specialist in Nottingham
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We think you need these skills to ace Complaints Analytics & Reporting Specialist in Nottingham
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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