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For Companies At a Glance
- Tasks: Analyse data to enhance logistics operations and improve customer experience.
- Company: Join a leading FTSE-100 retail company with a global presence.
- Benefits: Enjoy discounts, bonuses, health services, and career development opportunities.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Proficient in SQL or Python, with strong visualisation skills using Tableau or Power BI.
- Other info: Dynamic team environment with excellent growth potential and support networks.
The predicted salary is between 36000 - 60000 £ per year.
Based at our distribution hub in South Elmsall, West Yorkshire, our logistics operation spans 11 million square feet of warehouse space. To keep things moving efficiently and cost-effectively, we rely on clear, purposeful data. We have an opportunity for a knowledgeable Data Analyst to join our team in South Elmsall. You’ll be the bridge between what the business needs and how it gets delivered, ensuring our customers have a seamless experience.
Responsibilities
- Reporting & Innovation: Develop a suite of live reporting to enhance output and use new tools to take our analytics to the next level.
- Insightful Visualisation: Create and maintain dashboards and reports that provide stakeholders with clear insights from a vast array of data sources.
- Strategic Support: Provide detailed analysis for project appraisals and support the implementation of our 3rd Party (Total Platform) clients.
- Problem Solving: Design data analyses to uncover patterns and trends, identifying opportunities to improve our service levels.
- Operational Collaboration: Work closely with cross-functional teams to define business objectives and report on daily and weekly KPIs to support warehouse performance.
What you’ll bring
We’re looking for someone who is positive, commercially aware and can demonstrate real world practical experience not just theoretical knowledge.
Essential Criteria
- Technical Proficiency: You are skilled in SQL or Python for extracting and transforming data.
- Visualisation Skills: You have strong experience using tools like Tableau or Power BI to make data easy to understand.
- Communication: You can translate complex data into clear, succinct findings that answer the "so what?" for your stakeholders.
- Attention to Detail: You have a sharp eye for detail while never losing sight of the bigger picture.
- Analytical Drive: You are interested in how a business works and have a genuine desire to help us improve our performance.
Desirable Criteria
- Innovation: Some experience with ML/AI is preferred but not essential.
- Industry Awareness: You stay up-to-date with the latest trends and best practices in data analytics.
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 online from over 70 countries around the world!
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
Conditions apply to all benefits. These benefits are discretionary and subject to change. 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 headoffice_careers@next.co.uk (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail.
Finance Data Analyst - Logistics in Pontefract employer: Next
Contact Detail:
Next Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Analyst - Logistics in Pontefract
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and any tips they might have for landing a role at Next. Personal connections can make all the difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data visualisation projects using tools like Tableau or Power BI. Bring it along to interviews to demonstrate your technical prowess and how you can add value to the team.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and problem-solving. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical drive.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be able to keep track of your application status easily. Don’t miss out on this opportunity!
We think you need these skills to ace Finance Data Analyst - Logistics in Pontefract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Finance Data Analyst. Highlight your experience with SQL, Python, and data visualisation tools like Tableau or Power BI. We want to see how your skills align with what we need!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can help us improve our logistics operations. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for someone who can identify patterns and trends, so don’t hold back on sharing your analytical successes!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Next
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in real-world scenarios, especially in extracting and transforming data. This will show that you’re not just familiar with the theory but can apply it practically.
✨Visualisation is Key
Familiarise yourself with Tableau or Power BI, as these are crucial for the role. Prepare examples of dashboards or reports you've created in the past, and be ready to explain how they provided clear insights to stakeholders. This will demonstrate your ability to make complex data understandable.
✨Communicate Clearly
Practice translating complex data findings into simple, actionable insights. Think about how you would answer the 'so what?' question for your stakeholders. Being able to communicate effectively is essential, so consider doing mock interviews to refine this skill.
✨Show Your Analytical Drive
Be prepared to discuss your interest in how businesses operate and your desire to improve performance. Think of specific examples where your analytical skills led to problem-solving or innovation. This will highlight your proactive approach and fit for the team.
