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
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Next!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Web Analyst at Next.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Next.
✨Apply Directly through Our Website
When you find a suitable opening like Web Analyst at Next, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Web Analyst in Leicester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Next, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Next. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Next
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Next!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
