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For Companies At a Glance
- Tasks: Manage customer data and drive insights for CRM strategies.
- Company: A leading UK retail brand focused on customer experience.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Influence customer experience through impactful data-driven decisions.
- Qualifications: Experience with data visualisation tools and strong communication skills.
- Other info: Join a dynamic team dedicated to enhancing customer engagement.
The predicted salary is between 36000 - 60000 £ per year.
A customer-centric UK retail brand is seeking a Customer Analytics Manager. You will work within the CRO & Data team to manage customer data and drive insights for CRM strategies.
Responsibilities include:
- Developing segmentation and reporting
- Ensuring data accuracy
The ideal candidate has hands-on experience with data visualisation tools like Power BI and a strong ability to communicate insights clearly to non-technical stakeholders. This is an exciting opportunity to influence customer experience through data-driven decisions.
Customer Analytics Lead for Personalisation & Insights in Burnley employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Analytics Lead for Personalisation & Insights in Burnley
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects, especially if you've used tools like Power BI. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to engage with non-technical stakeholders. We want you to shine!
✨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 Analytics Lead for Personalisation & Insights in Burnley
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data visualisation tools like Power BI in your application. We want to see how you've used these tools to drive insights and influence decisions in your previous roles.
Communicate Clearly: Since you'll be sharing insights with non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex data in a simple way. Use examples in your application that showcase this skill.
Be Customer-Centric: Remember, this role is all about enhancing customer experience. We love candidates who can show how their analytical work has directly impacted customer satisfaction or engagement in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you brush up on your knowledge of data visualisation tools, especially Power BI. Be ready to discuss how you've used these tools in past roles to drive insights and improve customer experiences.
✨Understand Customer Segmentation
Familiarise yourself with different customer segmentation strategies. Prepare examples of how you've developed or implemented segmentation in previous positions, as this will show your practical experience in driving CRM strategies.
✨Communicate Clearly
Since you'll be presenting insights to non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of a few examples where you've successfully communicated insights and the impact they had on decision-making.
✨Showcase Your Analytical Mindset
Be prepared to discuss how you ensure data accuracy and integrity in your work. Share specific instances where your analytical skills led to actionable insights that improved customer engagement or experience.
