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: Collaborative environment with a passion for 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 in London employer: Oliver Bernard
As one of the fastest growing ecommerce firms in the country, our client offers a dynamic and innovative work environment that fosters creativity and collaboration. With hybrid working options in a central London location, employees benefit from a supportive culture that prioritises professional growth and development, alongside competitive salaries and the opportunity to work with cutting-edge technology in AI and data analytics. Join a team where your contributions directly impact customer experience and drive the future of ecommerce.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Service Ops - Data - Ecommerce - £40K in London
✨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 solve problems or improve processes.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AI and customer experience platforms like Zendesk. Be ready to discuss how you can leverage these technologies to enhance customer workflows and drive efficiency.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Customer Service Ops - Data - Ecommerce - £40K in London
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.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Customer Service Ops role. Mention your passion for technology and AI, and how you’ve applied these in real-world scenarios.
Communicate Clearly:Since excellent communication skills are key for this role, ensure your application is clear and concise. Use straightforward language to describe your experiences and achievements, making it easy for us to see your potential.
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’re considered for this exciting opportunity in our fast-growing ecommerce 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 clear insights that benefited the customer experience.
✨Familiarise Yourself with AI Applications
Since this role involves driving the use of 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 helped in your previous roles.
✨Communicate Effectively
Excellent communication skills are a must! Practice explaining technical concepts in simple terms, as you'll need to collaborate with Product and Engineering teams. Be ready to demonstrate your ability to convey ideas clearly and effectively.
