At a Glance
- Tasks: Enhance customer experience through data analysis and workflow improvement.
- Company: Fast-growing ecommerce firm with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with Product and Engineering teams in a vibrant environment.
- Why this job: Join a dynamic team and leverage AI to transform customer service.
- Qualifications: Experience in data analytics and strong problem-solving skills required.
The predicted salary is between 40000 - 40000 € per year.
Our client is one of the country’s fastest growing ecommerce firms and are looking to hire a data-focussed Customer Service specialist. Offering hybrid working in their central London office, you’ll be key in creating and improving customer experience workflows and processes and help drive their use of AI and CRM to automate.
You’ll work across customer data analysis and report development, workflow refinement and closely with Product and Engineering teams to create user-facing tools. You’ll need to be a data-fluent problem solver, with a passion for technology and AI.
Experience of data analytics is needed, tools such as Looker, SQL and Google Sheets and demonstrate a fluency for AI and how it can be used day to day. Knowledge of customer experience platforms such as Zendesk is ideal to have, along with excellent communication skills, ambition and a drive to make things happen!
This role is ideal for someone who loves numbers, data and problem solving and turning messy information into useful insights. You’ll build reports, refine processes and make sure tools and content are accurate, consistent and effective.
Customer Service Ops - Data - Ecommerce - £40K in Slough employer: Oliver Bernard
Join one of the UK's fastest growing ecommerce firms, where innovation meets opportunity in a vibrant central London setting. With a strong focus on employee growth, we offer hybrid working arrangements, a collaborative work culture, and the chance to be at the forefront of integrating AI into customer service operations. Our commitment to your professional development ensures that you will thrive in a dynamic environment that values data-driven insights and creative problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Service Ops - Data - Ecommerce - £40K in Slough
✨Tip Number 1
Get to know the company inside out! Research their values, mission, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for the interview by practising common questions related to data analytics and customer service. Think about how you can showcase your problem-solving skills and your passion for AI and technology.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the role. Plus, it keeps you on their radar as they make their decision.
We think you need these skills to ace Customer Service Ops - Data - Ecommerce - £40K in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience with data analytics tools like Looker and SQL, and showcase any relevant projects that demonstrate your problem-solving skills.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about customer service and data. Share specific examples of how you've improved processes or used AI in previous roles to show us what you can bring to the table.
Showcase Your Communication Skills:Since excellent communication is key for this role, make sure your application reflects that. Use clear, concise language and structure your application well to demonstrate your ability to convey information effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Tools
Make sure you brush up on your knowledge of data analytics tools like Looker, SQL, and Google Sheets. Be ready to discuss how you've used these tools in past roles to improve customer experience or streamline processes.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using data. Think about specific situations where you turned messy information into clear insights that benefited your team or customers.
✨Understand AI's Role in Customer Service
Since the role involves working with AI, be prepared to talk about how AI can enhance customer service workflows. Share any experiences you have with AI tools and how they’ve improved efficiency or customer satisfaction.
✨Communicate Clearly and Confidently
Excellent communication skills are a must for this position. Practice explaining your ideas clearly and concisely, especially when discussing technical concepts. Remember, you want to show that you can bridge the gap between data and user-friendly solutions.
