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- Tasks: Analyse and model data to create advanced forecasting capabilities for logistics operations.
- Company: Leading UK B2C Logistics Supply Chain organisation with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on customer demand planning.
- Qualifications: Experience in data analysis, SQL skills, and a passion for forecasting.
- Other info: Exciting career development opportunities in a fast-paced environment.
The predicted salary is between 40000 - 50000 £ per year.
Leading UK B2C Logistics Supply Chain organisation require a Business Intelligence Analyst to join their expanding Operations Forecasting Planning team. You will have responsibility for sourcing, analysing and modelling the Data to create advanced forecasting capabilities across operational demand workloads and national customer support operations.
Key Responsibilities:
- Forecast modelling on a weekly, daily and hourly level around customer demand planning, which drives the resourcing requirement to meet customer needs.
- Utilise multiple statistical forecasting methods and apply this to analyse and extract meaningful properties from large and complex data sets using SQL, to enable complex planning assumptions and improve forecast quality.
- Production of accurate and effective weekly demand forecasts (rolling 0 - 26 weeks) across lines of business ensuring awareness and management of Seasonality factors, Volume driver analysis and Special event forecasting.
- Provide insight and intelligence to enable Operational leads and Resource Planning teams to make informed decisions on resourcing, and performance challenges and optimisation.
- Producing and maintaining forecast analysis and tracking, and operational performance reporting to identify performance trends.
Business Intelligence Analyst (Forecasting/Planning Analytics) employer: Michael Page Technology
Contact Detail:
Michael Page Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst (Forecasting/Planning Analytics)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Business Intelligence Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your forecasting models and data analysis projects. We want to see how you’ve used SQL and statistical methods to tackle real-world problems. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for those interviews! Research common questions for Business Intelligence Analysts and practice your responses. We recommend focusing on how you’ve handled complex data sets and improved forecast quality in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always looking for talented individuals who can bring their expertise in forecasting and planning analytics to our team.
We think you need these skills to ace Business Intelligence Analyst (Forecasting/Planning Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Intelligence Analyst role. Highlight your experience with forecasting, data analysis, and SQL skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills can help us improve our forecasting capabilities. Keep it engaging and relevant!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention specific projects where you’ve used statistical methods or worked with complex data sets. We love seeing real examples of your work!
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 any important updates from us!
How to prepare for a job interview at Michael Page Technology
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with. Brush up on SQL and any statistical forecasting methods mentioned in the job description. Being able to discuss how you've used these tools in past roles will show your expertise and confidence.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems related to demand forecasting. Think about specific examples where you've successfully predicted customer demand or improved forecasting accuracy. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Analytical Skills
Be ready to demonstrate your analytical thinking. You might be asked to interpret a dataset or explain how you would approach a forecasting challenge. Practise explaining your thought process clearly and concisely, as this will highlight your problem-solving abilities.
✨Understand the Business Context
Research the logistics and supply chain industry, especially in the B2C sector. Understanding the challenges and trends in this field will help you relate your skills to the company’s needs. This knowledge will also allow you to ask insightful questions during the interview.