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: Ideal for those passionate about technology and customer experience.
- Why this job: Join a tech-savvy team and make a real impact using AI and data.
- 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 employer: Oliver Bernard
As one of the UK's fastest growing ecommerce firms, we pride ourselves on fostering a dynamic and innovative work culture that values data-driven decision making and employee growth. With hybrid working options in our central London office, we offer a collaborative environment where you can thrive alongside passionate professionals, while also benefiting from opportunities to enhance your skills in AI and customer experience technologies. Join us to be part of a forward-thinking team that is dedicated to transforming customer service through cutting-edge solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Service Ops - Data - Ecommerce - £40K
✨Tip Number 1
Network like a pro! Reach out to people in the ecommerce and customer service sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you've got experience with data analytics tools like Looker or SQL, make sure to highlight that in conversations. Bring examples of how you've used these tools to improve customer experiences or streamline processes.
✨Tip Number 3
Prepare for interviews by practising common questions related to customer service and data analysis. Think about how you can demonstrate your problem-solving skills and your passion for technology and AI during the chat.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Customer Service Ops - Data - Ecommerce - £40K
Some tips for your application 🫡
Show Your Data Skills:Make sure to highlight your experience with data analytics tools like Looker, SQL, and Google Sheets. We want to see how you've used these skills to solve problems and improve processes in your previous roles.
Communicate Clearly:Since excellent communication is key for this role, ensure your application reflects your ability to convey complex ideas simply. We love candidates who can break down data insights into actionable steps!
Passion for Technology:Let your enthusiasm for technology and AI shine through in your application. Share examples of how you've leveraged these tools to enhance customer experiences or streamline workflows.
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 don’t miss out on any important updates from our team!
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 actionable insights, and be ready to share these stories during the interview.
✨Understand AI's Role in Customer Service
Since this role involves driving the use of AI, do some research on how AI can enhance customer service workflows. Be prepared to discuss your thoughts on AI applications and how they can be integrated into customer experience platforms.
✨Communicate Clearly and Confidently
Excellent communication skills are a must for this position. Practice articulating your ideas clearly and confidently, especially when discussing technical concepts. Remember, it's not just about what you say, but how you say it!