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- Tasks: Create insightful dashboards and reports to enhance logistics performance.
- Company: Leading UK retailer with a vibrant logistics team.
- Benefits: Competitive pay, flexible working options, and growth opportunities.
- Why this job: Join a fast-paced environment and make data-driven decisions that matter.
- Qualifications: Proficient in SQL or Python, and skilled in data visualisation tools.
- Other info: Dynamic team culture focused on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK retailer based in South Elmsall is seeking a knowledgeable Data Analyst to join their dynamic logistics team. The individual will bridge business needs with delivery, developing reports and dashboards, and providing analytical support.
Essential skills include:
- Proficiency in SQL or Python
- Strong visualization abilities using tools like Tableau or Power BI
- The capacity to communicate complex data in an understandable manner
The role aims to improve performance and service levels in a fast-paced logistics environment.
Logistics Data Analyst – Dashboards & Insights in London employer: NEXT Retail Ltd.
Contact Detail:
NEXT Retail Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics Data Analyst – Dashboards & Insights in London
✨Tip Number 1
Network like a pro! Reach out to current employees in the logistics field on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your SQL or Python projects, along with any dashboards you've created. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable explaining complex data in simple terms. We can do mock interviews with friends to nail down our communication skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Logistics Data Analyst – Dashboards & Insights in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in SQL or Python right from the get-go. We want to see how you can use these tools to create impactful dashboards and reports, so don’t hold back!
Visualisation is Key: If you've got experience with Tableau or Power BI, flaunt it! We love seeing how you can turn complex data into easy-to-understand visuals. Share examples of your work if you can!
Keep It Clear and Concise: When you're writing your application, remember to communicate your ideas clearly. We’re looking for someone who can make complex data understandable, so show us you can do that in your writing too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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, especially in creating reports or dashboards. This will show that you can hit the ground running!
✨Visualisation is Key
Familiarise yourself with Tableau or Power BI if you haven't already. Prepare to showcase any dashboards you've created and explain the insights they provided. Being able to visually communicate data effectively is crucial for this role.
✨Understand the Business Needs
Research the company and its logistics operations. Think about how your analytical skills can directly impact their performance and service levels. Showing that you understand their business challenges will set you apart from other candidates.
✨Practice Communicating Complex Data
Since the role requires simplifying complex data, practice explaining your past projects to someone without a technical background. This will help you demonstrate your ability to communicate insights clearly during the interview.
