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For Companies At a Glance
- Tasks: Analyse customer data to enhance online shopping experiences and drive strategic decisions.
- Company: Join NEXT, a leading name in UK retail, expanding rapidly in eCommerce.
- Benefits: Enjoy flexible working, competitive salary, bonuses, discounts, and wellness perks.
- Why this job: Be part of a dynamic team where your insights directly impact customer experience and business growth.
- Qualifications: Expertise in Big Query and GA4, with strong analytical and communication skills required.
- Other info: Work from our inspiring Leicestershire office with a focus on work-life balance.
The predicted salary is between 32000 - 42000 £ per year.
We are looking for a Web Analyst to join our Data Analytics team within eCommerce! Let’s talk numbers. When it comes to UK retail, it’s hard to find a bigger name. We sell thousands of items an hour and are expanding our e-commerce business by the second. For anyone in Data, this is the place to learn, grow, and thrive.
eCommerce Data provides the department and the business the means to see what is working and what is not by drawing data and analysing patterns of shopping on our site and in general.
The role
Are you an expert in interpreting data? Here, you’ll be at the forefront of understanding and interpreting customer data to drive strategic decisions and enhance online customer experiences. So what does this mean day-to-day for you as a Web Analyst at NEXT, specifically?
- Presenting complex analytical findings into clear, concise reports and presentations that communicate actionable recommendations to a range of audiences.
- Interrogating large volumes of data from a range of sources, including transactional and online.
- Developing and maintaining customer segmentation models to identify distinct customer groups and tailor marketing strategies and product offerings accordingly.
- Proactively identifying opportunities to support improvements to the customer experience.
- Communicating and collaborating with cross functional teams within eCommerce and the wider business.
- Tracking and analysing website metrics using Big Query and Google Analytics.
- Create reports and dashboards to communicate findings to stakeholders.
- Analyse on-site tests/on-site changes and provide recommendations with an ethos of continuous improvement.
- Work with the wider marketing team to analyse digital marketing campaigns with a view of maximising return on investment.
You’ll be doing all this from our Leicestershire Head Office. Our offices are inspiring, yes. But we understand that life happens. So, we’re big on making sure your work, works for you which is why we offer flexible working. Bring your energy. Play to your strengths. Make things bigger and better than before. Let’s Take It On.
So if you’re an expert in this field, have strong Big Query skills and GA4 knowledge, work with initiative and can build great working relationships within the business, this is the place for you – and your career.
Benefits
- Competitive salary band of £38,000 - £49,000
- Flexible working
- Annual company performance based bonus
- Sharesave scheme, which allows you to invest in NEXT and claim your share of our success
- Annual Pay Reward
- Pension 3% Employer/ 5% Employee
- 25 days holiday plus bank holidays (can also buy/sell up to 3 days)
- 25% staff discount and free next day delivery to desk for online purchases
- A newly refurbished subsidised restaurant and bar
- Staff shops in Yorkshire and Leicestershire
- Juice bar and coffee shop
- Gympass - discounted gym membership
- Free company bus service to and from Leicester city centre and other areas
- Onsite nursery (salary sacrifice scheme) in Leicester
- A digital GP healthcare service
- & loads more!
Web Analyst employer: NEXT Retail Ltd.
Contact Detail:
NEXT Retail Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Web Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in eCommerce analytics. Understanding current market dynamics and customer behaviour can give you an edge during interviews, as you'll be able to discuss relevant insights and how they apply to the role.
✨Tip Number 2
Brush up on your Big Query and Google Analytics skills. Since these tools are crucial for the role, being able to demonstrate your proficiency or even share examples of how you've used them in past projects can significantly boost your chances.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who work in eCommerce. Engaging with industry peers can provide valuable insights and potentially lead to referrals, which can be a great way to get noticed by our hiring team.
✨Tip Number 4
Prepare to discuss how you've previously identified opportunities for improving customer experiences through data analysis. Having concrete examples ready will show that you not only understand the role but also have a proactive approach to driving results.
We think you need these skills to ace Web Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Web Analyst. Familiarise yourself with key terms like customer segmentation, Big Query, and Google Analytics, as these will be crucial in your application.
Tailor Your CV: Highlight relevant experience in data analysis, particularly any work involving eCommerce or web metrics. Use specific examples that demonstrate your ability to interpret data and present findings clearly.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it drives business decisions. Mention your familiarity with tools like Big Query and GA4, and provide examples of how you've used data to improve customer experiences.
Showcase Your Analytical Skills: If possible, include links to any reports or dashboards you've created in previous roles. This will give the hiring team a tangible sense of your analytical capabilities and how you communicate findings.
How to prepare for a job interview at NEXT Retail Ltd.
✨Know Your Data Tools
Familiarise yourself with Big Query and Google Analytics, as these are crucial for the role. Be prepared to discuss your experience with these tools and how you've used them to analyse data in previous positions.
✨Prepare Clear Presentations
Since you'll need to present complex findings, practice summarising your analytical results into concise reports. Think about how you can communicate actionable insights to different audiences effectively.
✨Understand Customer Segmentation
Brush up on customer segmentation models and be ready to discuss how you would identify distinct customer groups. Consider examples from your past work where you tailored strategies based on customer data.
✨Show Initiative and Collaboration
Highlight instances where you've proactively identified opportunities for improvement or collaborated with cross-functional teams. This will demonstrate your ability to work well within a team and contribute to enhancing the customer experience.
