At a Glance
- Tasks: Analyse customer data to enhance online shopping experiences and present findings to teams.
- Company: Join NEXT, a leading FTSE-100 retail company with over 35,000 employees in the UK and Ireland.
- Benefits: Enjoy flexible working, discounts on products, and access to health and wellbeing services.
- Other info: Work from our inspiring Leicester office with opportunities for career growth and development.
- Why this job: Be part of a dynamic team where your data skills can drive real change in e-commerce.
- Qualifications: Strong skills in Python, SQL, and experience with data analysis tools are essential.
The predicted salary is between 30000 - 42000 € per year.
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About the Role:
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. To grow. And to thrive.
Job Description
About the Role:
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. To grow. And to 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.
About you:
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.
- Analyse on site tests/on-site changes and provide recommendations with an ethos of continuous improvement.
- Interrogating large volumes of data from a range of sources, including transactional and online.
- 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.
- Work with the wider marketing team to analyse digital marketing campaigns with a view of maximising return on investment.
So if you’re an expert in this field, have strong Python/PySpark/SQL skills and considerable Databricks knowledge, work with initiative and can build great working relationships within the business, this is the place for you – and your career.
About Us
You know Next, but did you know we’re a FTSE-100 retail company employing over 35,000 people across the UK and Ireland. We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count we have over 500 stores, plus the Next Online and it’s now possible to buy on-line from over 70 countries around the world! So we’ve gone global!
About The Team
- 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria\'s Secret* products (*when purchased through NEXT)
- Company performance based bonus
- Sharesave scheme
- On-site Nursery available; OFSTED outstanding in all areas
- 10% off most partner brands & up to 15% off Branded Beauty
- Early VIP access to sale stock
- Access to fantastic discounts at our Staff Shops
- Restaurants with great food at amazing prices
- Access a digital GP and other free health and wellbeing services
- Free on-site parking
- Financial Wellbeing - Save, track and enhance your financial wellbeing
- Apprenticeship - Grow and develop on the job whilst gaining a qualification
- Direct to Work - Discount online and instore, collect your items the next day for free from your place of work or local store
- Support Networks - Access to Network Groups to empower and celebrate each other
- Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions and more
We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email (please include \'Workplace Adjustments\' in the subject line), or call us on 0116 284 2486 and leave a voicemail.
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Job function
Research, Analyst, and Information TechnologyIndustries
Retail
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#J-18808-LjbffrWeb Analyst in Leicester employer: Next
At Next, we pride ourselves on being a leading employer in the UK retail sector, offering a dynamic work environment where data-driven professionals can truly thrive. Our Leicester office fosters a culture of collaboration and innovation, with flexible working arrangements and a wealth of employee benefits including discounts, health services, and opportunities for personal growth through apprenticeships. Join us to be part of a forward-thinking team that values your contributions and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Web Analyst in Leicester
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Big Query and Google Analytics. Having hands-on experience or even completing online courses on these platforms can give you a significant edge during interviews.
✨Tip Number 2
Prepare to discuss your previous experiences with data analysis. Be ready to share specific examples of how you've used data to drive decisions or improve customer experiences, as this will demonstrate your ability to apply your skills in a real-world context.
✨Tip Number 3
Network with current or former employees of Next, especially those in data roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the interview process.
✨Tip Number 4
Stay updated on the latest trends in e-commerce and data analytics. Being knowledgeable about industry developments can help you engage in meaningful conversations during interviews and show your passion for the field.
We think you need these skills to ace Web Analyst in Leicester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the Web Analyst role. Focus on your analytical skills, familiarity with data tools like Google Analytics, and any experience with Python or SQL.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data analysis and how it can enhance customer experiences. Mention specific examples of how you've used data to drive decisions in previous roles.
Showcase Your Analytical Skills:When detailing your experience, emphasise your ability to interpret complex data and present findings clearly. Use metrics or outcomes from past projects to demonstrate your impact.
Research Next:Familiarise yourself with Next's e-commerce strategies and recent developments. This knowledge will help you tailor your application and show your genuine interest in the company.
How to prepare for a job interview at Next
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, such as Big Query, Google Analytics, and SQL. Be prepared to discuss your experience with these tools and how you've used them to analyse data and drive decisions.
✨Prepare for Case Studies
Expect to be presented with case studies or scenarios during the interview. Practice explaining how you would approach analysing data, interpreting results, and making recommendations based on your findings.
✨Showcase Your Communication Skills
As a Web Analyst, you'll need to present complex data in a clear manner. Prepare examples of how you've effectively communicated analytical findings to different audiences, whether through reports or presentations.
✨Demonstrate Continuous Improvement Mindset
Highlight your proactive approach to identifying opportunities for improvement. Share specific examples of how you've contributed to enhancing customer experiences or optimising processes in previous roles.
