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- Tasks: Create insightful reports and dashboards to drive business decisions.
- Company: Leading UK retailer with a focus on innovation and employee well-being.
- Benefits: Employee discounts, well-being services, and flexible workplace adjustments.
- Why this job: Make a real impact by bridging data and business needs in a dynamic environment.
- Qualifications: Proficient in SQL or Python and experienced with Tableau or Power BI.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK retailer is seeking a skilled Data Analyst to join their team in Pontefract. This role will bridge business needs and data delivery, creating reports and dashboards for stakeholder insights.
The ideal candidate will be proficient in SQL or Python and have experience with data visualization tools like Tableau or Power BI.
The position offers various employee benefits, including discounts and access to well-being services, and the company values workplace adjustments for candidates in need.
Logistics Data Analyst: Drive Finance Insights & Dashboards in Pontefract employer: Next
Contact Detail:
Next Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics Data Analyst: Drive Finance Insights & Dashboards in Pontefract
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can give you the inside scoop on job openings and company culture.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your skills in SQL, Python, and data visualisation tools effectively.
✨Tip Number 3
Showcase your work! Create a portfolio of your data projects, especially those involving dashboards and reports. We love seeing real examples of your skills in action, so make sure to highlight your best work when you get the chance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Logistics Data Analyst: Drive Finance Insights & Dashboards in Pontefract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data visualisation tools like Tableau or Power BI. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Logistics Data Analyst position and how you can bridge business needs with data delivery. Let us know what makes you the perfect fit!
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive insights in previous roles. We love seeing real-world applications of your skills, so share any reports or dashboards you've created that had a significant impact.
Apply Through Our Website: We encourage you to apply directly 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
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, and how they helped you deliver insights or solve problems.
✨Showcase Your Visualisation Skills
Familiarise yourself with Tableau or Power BI if you haven't already. Prepare to talk about how you've created dashboards in the past, focusing on how they provided value to stakeholders and improved decision-making.
✨Understand the Business Needs
Research the retailer and their business model. Think about how your role as a Data Analyst can bridge the gap between data delivery and business needs. This will show that you're not just a tech whiz, but also someone who understands the bigger picture.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their data strategy or how they measure success in this role. It shows you're genuinely interested and engaged with the position.
