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For Companies At a Glance
- Tasks: Analyse data to enhance logistics operations and improve customer experience.
- Company: Join a leading logistics company with a massive distribution hub in West Yorkshire.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Proficient in SQL or Python, with experience in data visualisation tools like Tableau or Power BI.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 30000 - 48000 £ per year.
Based at our distribution hub in South Elmsall, West Yorkshire, our logistics operation is huge, spanning 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.
What you’ll take on
- Join a dynamic team providing vital analytical support across our logistics operations and beyond.
- 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.
Data Analyst - Logistics employer: NEXT Retail Ltd.
Contact Detail:
NEXT Retail Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Logistics
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Analyst role. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. We know you’ve got the technical chops, but being able to demonstrate your problem-solving abilities with real-world examples will set you apart from the crowd.
✨Tip Number 3
Show off your visualisation skills! Create a portfolio of dashboards or reports using Tableau or Power BI that highlight your ability to turn complex data into clear insights. This will give you a leg up when discussing your experience in interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our logistics operations.
We think you need these skills to ace Data Analyst - Logistics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, Python, and any 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!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and provide actionable insights from their analyses.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NEXT Retail Ltd.
✨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 past projects, as well as any experience you have with visualisation software like Tableau or Power BI.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data problems in the past. Think about specific instances where your analysis led to improved service levels or operational efficiency, and be ready to explain your thought process.
✨Communicate Clearly
Practice translating complex data findings into simple, actionable insights. During the interview, focus on how you can convey your analytical results to stakeholders who may not have a technical background.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in data analytics and logistics. Being able to discuss recent developments or innovations in the field will show your passion and commitment to continuous learning.
