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 AI.
- Why this job: Join a tech-savvy team and make a real impact with data-driven insights.
- 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 - Data Analytics - £40K 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 remuneration. Join a team where your passion for data and technology can drive meaningful improvements in customer experience, while enjoying the unique advantages of working in a thriving sector.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Service - Data Analytics - £40K
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in customer service or data analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects or any relevant work you've done. This is a great way to demonstrate your problem-solving abilities and passion for technology.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to customer experience and data analytics. We recommend practising how you’d explain your experience with tools like SQL and Looker, as well as your approach to using AI in customer service.
✨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 and eager to join our team.
We think you need these skills to ace Customer Service - Data Analytics - £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 tools to solve problems and improve processes in your previous roles.
Communicate Clearly:Since excellent communication skills are a must, ensure your application is clear and concise. We love candidates who can explain complex data insights in a way that's easy to understand, so don’t hold back on showcasing this skill!
Passion for Technology:Let your enthusiasm for technology and AI shine through in your application. Share examples of how you've leveraged these tools in your work, as we’re looking for someone who’s genuinely excited about using tech to enhance customer experiences.
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 during the process. We can’t wait to hear from you!
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.
✨Understand AI's Role in Customer Service
Since this role involves working with AI, be prepared to discuss how AI can enhance customer service workflows. Share any experiences you have with AI tools and how they’ve helped you in previous positions.
✨Communicate Effectively
Excellent communication skills are a must for this role. Practice explaining technical concepts in simple terms, as you'll need to collaborate with Product and Engineering teams. Show them you can bridge the gap between data and user experience!
