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- Tasks: Analyse and model data to enhance forecasting for customer demand in logistics.
- Company: Join a leading UK B2C Logistics & Supply Chain organisation.
- Benefits: Collaborative team environment with opportunities for growth and development.
- Other info: Be part of a dynamic team focused on innovative data solutions.
- Why this job: Make a real impact on operational efficiency and customer satisfaction.
- Qualifications: Advanced analytical skills in Excel, SQL, and Power BI required.
The predicted salary is between 35000 - 45000 £ 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 risks, and opportunities.
- Support the Senior Planning and Forecasting Manager and Head of Planning & Trading with the production of the long term annual and quarterly forecasting and planning processes.
- Forecasting daily demand requirements, and feeds into the capacity / resourcing models, to achieve KPIs and SLAs as efficiently as possible.
- Share best practice across colleagues in the Forecasting & Planning team, and ops stakeholders.
- Continuous review of performance, ensuring forecast performance is within acceptable toleration, variations are understood and articulated, and lessons learnt are incorporated into future forecasts.
Key Skills & Attributes:
- Advanced analytical skills using Excel, SQL and Power BI (DAX / Power Query).
- Forecasting and Planning experience in large scale operations - Field and/ or Contact Centres.
- Experience in building, developing and maintenance Excel forecasting models.
- Ability to use Excel at an advanced level, to design and manage complex forecasting models in a manner that ensure easy audit and transparency.
- Awareness and ability to create, develop models and solutions to support problem solving activities and scenario modelling.
- Strong modelling skills and ability to develop and build from concept through to strategic solution, Demand Planning models and processes.
- Ability to create reports in Power BI, or have knowledge and experience of Tableau and other analytical and reporting solutions.
Job Offer:
- Opportunity to join a leading UK organisation.
- Opportunity to join a large and collaborative data team.
Data Analyst - Contact Centre & Resource Planning Analytics in Stafford employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Contact Centre & Resource Planning Analytics in Stafford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in logistics and supply chain. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analytical projects, especially those involving SQL and forecasting models. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your Excel and Power BI skills before interviews. You might be asked to solve a problem on the spot, so being confident with these tools is key.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your forecasting and planning experience, and let’s get you on board!
We think you need these skills to ace Data Analyst - Contact Centre & Resource Planning Analytics in Stafford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Excel, and forecasting models. We want to see how your skills match what we're looking for!
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've tackled complex data sets or improved forecasting accuracy in previous roles.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and experiences quickly.
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 the role as soon as possible!
How to prepare for a job interview at Michael Page
✨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 forecasting and planning. Having specific examples of how you've tackled complex data sets will really impress them.
✨Understand Forecasting Techniques
Familiarise yourself with various statistical forecasting methods. Be prepared to explain how you would apply these methods to real-world scenarios, particularly in a logistics or contact centre context. Showing that you can think critically about demand planning will set you apart.
✨Showcase Your Problem-Solving Skills
Think of examples where you've developed models or solutions to solve operational challenges. They’ll want to see your ability to create effective forecasting models and how you’ve used them to drive decision-making. Bring these examples to the table!
✨Communicate Clearly
Since you'll be working closely with operational leads and resource planning teams, practice explaining complex data insights in a straightforward way. Being able to articulate your findings and recommendations clearly will demonstrate your value to the team.