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- Tasks: Manage and analyse logistics data to drive strategic planning and improvements.
- Company: Leading energy solutions provider in the UK with a focus on innovation.
- Benefits: Competitive salary, excellent benefits, and a flexible hybrid work environment.
- Why this job: Join a dynamic team and make a real impact in the energy sector.
- Qualifications: Proficient in Excel and Power BI, with experience in data governance.
- Other info: Great opportunities for career growth and development.
The predicted salary is between 48000 - 63000 £ per year.
A cutting-edge energy solutions provider based in the UK is seeking a Senior Logistics Data & Planning Analyst to manage and analyze logistics data. This role involves creating insights for strategic planning and driving continuous improvement in supply chain operations.
Proficient skills in tools like Excel and Power BI, along with experience in data governance, are essential.
The position offers a competitive salary between £48,000 - £63,000, excellent benefits, and a hybrid work environment.
Senior Logistics Data & Planning Analyst - Hybrid & Growth employer: Rolls Royce SMR Ltd.
Contact Detail:
Rolls Royce SMR Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Logistics Data & Planning Analyst - Hybrid & Growth
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and data analysis field on LinkedIn. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Excel and Power BI projects. This will not only demonstrate your expertise but also make you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common logistics scenarios. Think about how you can apply your data governance experience to real-world problems they might face.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Logistics Data & Planning Analyst - Hybrid & Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with logistics data and planning. We want to see how your skills in Excel and Power BI can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've driven improvements in supply chain operations and how your analytical skills have made an impact.
Showcase Your Data Governance Experience: Since data governance is essential for this role, make sure to mention any relevant experience you have. We’re keen to know how you’ve managed data integrity and compliance in your previous roles.
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’re considered for this exciting opportunity in our hybrid work environment!
How to prepare for a job interview at Rolls Royce SMR Ltd.
✨Know Your Data Tools
Make sure you brush up on your Excel and Power BI skills before the interview. Be ready to discuss how you've used these tools in past roles to analyse logistics data and create actionable insights.
✨Understand the Company’s Vision
Research the energy solutions provider thoroughly. Understand their mission, values, and recent projects. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical logistics challenges. Think about past experiences where you drove continuous improvement in supply chain operations and be ready to share specific examples that highlight your problem-solving skills.
✨Showcase Your Data Governance Knowledge
Since experience in data governance is essential for this role, prepare to discuss your understanding of data management principles. Share any relevant experiences where you ensured data integrity and compliance in your previous positions.
