At a Glance
- Tasks: Enhance customer experience through data analysis and workflow improvement.
- Company: Fast-growing ecommerce firm in central London with a hybrid work model.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with Product and Engineering teams in a dynamic environment.
- Why this job: Join a tech-savvy 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 - Data Analytics - £40K in Slough 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 data analytics and AI. Join us to be part of a team that is dedicated to transforming customer experiences and driving technological advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Service - Data Analytics - £40K in Slough
✨Tip Number 1
Get to know the company inside out! Research their values, culture, 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 experience with tools like SQL and Looker.
✨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 - Data Analytics - £40K in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your data analytics experience and any relevant tools you've used, like Looker or SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about customer service and data analytics. Share specific examples of how you've improved processes or used AI in your previous roles – we love a good story!
Show Off Your Communication Skills:Since this role involves working closely with various teams, it’s important to demonstrate your communication prowess. Use clear and concise language in your application, and don’t forget to mention any experience with customer experience platforms like Zendesk.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates. Plus, it shows you’re keen on joining 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 your analytical skills led to actionable insights that improved workflows or customer satisfaction.
✨Understand AI's Role in Customer Service
Familiarise yourself with how AI can enhance customer service operations. Be prepared to share your thoughts on its potential applications and any experiences you've had with AI-driven tools in previous roles.
✨Communicate Clearly and Confidently
Since excellent communication is key for this role, practice articulating your ideas clearly. Use examples from your experience to demonstrate how you've effectively communicated data insights to non-technical stakeholders.
