At a Glance
- Tasks: Analyse data and create models to improve forecasting for operations.
- Company: Leading UK B2C Logistics & Supply Chain organisation with a focus on innovation.
- Benefits: Competitive salary, collaborative team environment, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on operational performance.
- Qualifications: Strong skills in SQL, Excel, Power BI, and experience in large-scale operations.
- Other info: Be part of a supportive data team driving meaningful insights.
The predicted salary is between 35000 - 45000 £ per year.
A leading UK B2C Logistics & Supply Chain organization is seeking a Business Intelligence Analyst to enhance their Operations Forecasting & Planning team. This role involves advanced data analysis and modelling to create efficient forecasting capabilities for operational demands.
The ideal candidate will have strong skills in SQL, Excel, and Power BI, with experience in large-scale operations. This position offers an opportunity to be part of a collaborative data team, contributing valuable insights to drive performance improvements.
Forecasting & Planning Analytics Specialist employer: Michael Page Technology
Contact Detail:
Michael Page Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forecasting & Planning Analytics Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and supply chain industry on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL, Excel, and Power BI. This will give you an edge and demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common forecasting and planning analytics questions. Practice explaining your thought process when tackling data problems, as this will show your analytical mindset and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive job listings that might not be found elsewhere. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Forecasting & Planning Analytics Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in SQL, Excel, and Power BI. We want to see how your experience aligns with the role, so don’t be shy about showcasing your data analysis and modelling expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our Operations Forecasting & Planning team and how you can contribute to enhancing our forecasting capabilities.
Showcase Your Experience: When detailing your past roles, focus on large-scale operations and any relevant projects you've worked on. We love seeing concrete examples of how you've driven performance improvements through data insights!
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 collaborative data team!
How to prepare for a job interview at Michael Page Technology
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in large-scale operations. Having specific examples will show that you can hit the ground running.
✨Understand the Business Context
Research the logistics and supply chain industry, particularly how forecasting impacts operational efficiency. This knowledge will help you answer questions more effectively and demonstrate your genuine interest in the role and the company.
✨Prepare for Scenario Questions
Expect to face scenario-based questions where you'll need to showcase your analytical thinking. Think of situations where you've improved forecasting or planning processes and be ready to explain your thought process and the outcomes.
✨Show Your Collaborative Spirit
Since this role involves working within a data team, be prepared to discuss your experience collaborating with others. Highlight any projects where teamwork led to successful outcomes, as this will resonate well with the company's focus on collaboration.