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For Companies At a Glance
- Tasks: Dive into customer analytics, using SQL to drive insights and recommendations.
- Company: Join a leading fashion retailer focused on enhancing customer loyalty and retention.
- Benefits: Enjoy a competitive salary of £40,000-£55,000 and hybrid work flexibility.
- Why this job: Work on exciting projects like a new customer reward app and collaborate with data science teams.
- Qualifications: Must have SQL experience and a knack for data visualization.
- Other info: This role is hybrid, requiring you to be in Liverpool 3 days a week.
The predicted salary is between 32000 - 44000 £ per year.
Job Description
Customer Analyst
Liverpool (Hybrid)
£35,000-£40,000
THE COMPANY
A leading fashion retailer is seeking a Customer Analyst to join their team to help drive omni-channel journey optimisation
THE ROLE
As the Customer Analyst, you will use your SQL/bigQuery experience to work on a range of projects within the customer analytics space. You will be comfortable providing insight & recommendations back to both technical and non-technical stakeholders in the process, and have good story-telling experience. You’ll be able to work on projects across segmentation, regression, loyalty and predictive analytics. You will get the chance to work on a new customer reward app, and work closely with data science teams and on projects in the space
YOUR SKILLS AND EXPERIENCE
- SQL / bigQuery experience
THE BENEFITS
- £35,000-£40,000 (dependent on experience)
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
Customer Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in customer analytics, especially in the fashion retail sector. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your passion for the industry.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss specific projects where you've utilized SQL to derive insights. Having concrete examples ready will show your practical experience and problem-solving abilities.
✨Tip Number 3
Practice your storytelling skills by preparing to explain complex data findings in a simple way. Being able to communicate effectively with both technical and non-technical stakeholders is crucial for this role.
✨Tip Number 4
Network with professionals in the eCommerce analytics field, especially those who work in fashion retail. Engaging with others in the industry can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Customer Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL experience and any relevant data visualization skills. Emphasize your ability to provide insights and recommendations to both technical and non-technical stakeholders.
Craft a Compelling Cover Letter: In your cover letter, showcase your story-telling abilities and how they relate to customer analytics. Mention specific projects or experiences that demonstrate your expertise in segmentation, regression, and predictive analytics.
Highlight Relevant Projects: If you have worked on projects related to customer loyalty or analytics, be sure to include them in your application. Detail your role and the impact of your work on customer retention and engagement.
Follow Application Instructions: Ensure you send your application through the specified 'Apply link' to Adam Osborne at Harnham. Double-check that all documents are attached and formatted correctly before submitting.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Be prepared to discuss your SQL experience in detail. Think of specific projects where you used SQL to derive insights and how those insights impacted decision-making. This will demonstrate your technical proficiency and relevance to the role.
✨Prepare for Storytelling
Since the role requires good storytelling skills, practice explaining complex data findings in a simple and engaging way. Use examples from your past experiences where you successfully communicated insights to both technical and non-technical stakeholders.
✨Understand Customer Analytics
Familiarize yourself with key concepts in customer analytics, such as segmentation, regression, and predictive analytics. Be ready to discuss how these concepts can be applied to enhance customer loyalty and retention, especially in the context of a fashion retailer.
✨Engage with Data Visualization
Since data visualization is part of the job, prepare to talk about your experience with data visualization tools. Bring examples of how you've used visualizations to present data effectively and drive business decisions.
