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- Tasks: Analyze customer data using SQL and provide insights to enhance loyalty and retention.
- Company: Join a leading fashion retailer known for its innovative eCommerce strategies.
- Benefits: Enjoy a competitive salary of £40,000-£50,000 and hybrid work flexibility.
- Why this job: Be part of exciting projects like a new customer reward app and collaborate with data science teams.
- Qualifications: Experience in SQL and data visualization is essential.
- Other info: This role offers a unique opportunity to impact customer engagement directly.
The predicted salary is between 32000 - 44000 £ per year.
Job Description Customer Analyst Liverpool (Hybrid – 3x Days a Week) £40,000-£50,000 THE COMPANY A leading fashion retailer is seeking a Customer Analyst to join their eCommerce Analytics team to help drive increased customer loyalty & retention THE ROLE As the Customer Analyst, you will use your SQL 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 experience Data Viz. experience THE BENEFITS £40,000-£55,000 (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 eCommerce analytics. Understanding current market dynamics and customer behavior can help you provide valuable insights during interviews.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss specific projects where you've utilized SQL for customer analysis. Real-world examples will demonstrate your expertise effectively.
✨Tip Number 3
Practice your storytelling skills. Being able to convey complex data insights in a clear and engaging manner is crucial, especially when presenting to non-technical stakeholders.
✨Tip Number 4
Network with professionals in the fashion retail and analytics space. Engaging with industry peers can provide insights into the company culture and expectations, which can be beneficial during your application process.
We think you need these skills to ace Customer Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Customer Analyst position. Understand the key responsibilities and required skills, especially focusing on SQL experience and data visualization.
Tailor Your CV: Customize your CV to highlight relevant experience in customer analytics, SQL projects, and any work involving data visualization. Use specific examples that demonstrate your ability to provide insights and recommendations.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for eCommerce analytics and your understanding of customer loyalty and retention strategies. Mention your story-telling skills and how they can benefit the team.
Submit Your Application: Follow the application instructions carefully. Ensure you send your CV and cover letter through the provided Apply link. Double-check for any errors before hitting submit.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Be prepared to discuss your SQL experience in detail. Bring examples of how you've used SQL in past projects, especially in customer analytics. This will demonstrate your technical proficiency and relevance to the role.
✨Prepare for Storytelling
Since the role requires good storytelling skills, think about how you can present data insights in a compelling way. Practice explaining complex data findings in simple terms that both technical and non-technical stakeholders can understand.
✨Familiarize Yourself with Customer Analytics
Brush up on key concepts in customer analytics, such as segmentation, regression, and predictive analytics. Be ready to discuss how these concepts can drive customer loyalty and retention, which is crucial for the company.
✨Engage with Data Visualization Tools
If you have experience with data visualization tools, be sure to mention it. Discuss how you've used these tools to present data effectively in the past, as this will be an important aspect of the role.
