At a Glance
- Tasks: Transform data into insights to drive eCommerce growth across 72 international markets.
- Company: Join NEXT, a leading retailer with a focus on innovation and global expansion.
- Benefits: Enjoy flexible working, competitive salary, bonuses, and generous holiday allowance.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Be at the forefront of eCommerce, using AI to solve real-world challenges.
- Qualifications: Experience in data analysis, Databricks, Power BI, and a passion for AI.
The predicted salary is between 30000 - 40000 £ per year.
hackajob is collaborating with Next Ltd to connect them with exceptional professionals for this role. We are looking for an eCommerce Data Analyst to join our International eCommerce Third Parties team, to be at the forefront of our global growth! Based at NEXT Head Office in Leicestershire!
The Role:
The International eCommerce Trading team fuels global growth by managing and optimising online product sales across 72 international markets. Within this, the Third Parties team help connect NEXT with other large selling platforms such as Zalando and La Redoute to sell thousands of products. These platforms delivered strong growth for Next last year and to continue to support this growth we need ever improving data points and manipulation.
As an eCommerce Data Analyst, you will be the heart of our third party team, turning data from our partners into powerful insights and clearing the path for successful new launches. Your natural curiosity and commercial business sense will allow you to master new information quickly, helping you focus on what truly matters to our customers. By combining your passion for new technology like AI with a talent for building relationships across the company, you will lead the charge in using data to grow the business and find creative ways to solve everyday challenges.
What You’ll Take On:
- Be the knowledge centre of all available product and sales related data available to Third Parties.
- Support the creation of partner dashboards conveying key partner information.
- Deal with new partner data requirements.
- Problem solve issues that cause items to be offline using data.
- Leverage AI and automation tools to detect, predict, and prevent product errors and speed up time to online.
- Build reports and visualisations for wider team and business visibility.
- Communicate analysis to the wider team, share knowledge and understanding.
- Build, maintain and grow relationships with all relevant internal and external stakeholders.
- Explore the latest technologies available and select the right tools for the job.
- Seek opportunities to continually modernise the way we work.
What You’ll Bring:
- Proven experience as a data analyst, specifically with the ability to ingest external data and map internal data to facilitate successful third party partner launches.
- Hands-on experience with Databricks and Power BI to enable seamless collaboration with cross functional data teams.
- A strong commercial background with the ability to distinguish business critical data.
- A keen interest in AI and its application in solving complex data sharing and integration challenges.
- An inquisitive nature that allows you to master new data structures quickly and easily.
- Strong interpersonal skills with the ability to network business wide and champion the growth and use of data across the organization.
- Degree-level education with prior experience in a dedicated data related role.
- A self-motivated, highly organised problem solver with a meticulous eye for detail and the adaptability to tackle evolving challenges.
So if you’ve got experience in this field, are a data driven analyst with a commercial mindset, have strong experience working with Databricks, Power BI and different AI tools and are looking for the next challenge, this is the role for you!
Benefits:
- Competitive salary range
- Flexible working options
- 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)
- Early finish on a Friday
- 25% staff discount and free next day delivery to desk for online purchases
- Management Share Save Scheme
- A newly refurbished subsidised restaurant and bar
- Staff shops in Yorkshire and Leicestershire
- Juice bar and coffee shop
StudySmarter Expert Advice🤫
We think this is how you could land Ecommerce Data Analyst (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 Ltd!
✨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 Ecommerce Data Analyst (Leicester) at Next Ltd.
✨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 Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Ecommerce Data Analyst (Leicester) at Next Ltd, 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 Ecommerce Data Analyst (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 Ltd, 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 Ltd. 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 Ltd
✨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 Ltd!
✨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.
