Descrizione
Career Area:
Supply Chain and LogisticsJob Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
We're looking for a Demand & Orders Analyst to join our global team responsible for forecasting and demand planning across the Manufacturing Parts Node (MPN) Network.
Whether you are at the beginning of your career or looking to level up, this is a great opportunity to build your analytical skills in a global environment. You'll work with large datasets, identify forecasting trends and risks, and provide insights that help drive planning and business decisions across the network.
Why This Role Matters
Your analysis will help improve forecast accuracy, support supply chain planning, and enable better business decisions across the organization.
What You Will Do
Monitor and analyze forecast performance across the MPN Network, identifying trends, risks, and opportunities for improvement
Investigate forecast anomalies and collaborate with business partners to develop corrective actions that improve forecast accuracy
Collect, interpret, and analyze data using tools such as Excel, Power BI, and SQL to support planning and decision-making
Partner with global cross-functional teams to support forecasting processes and drive alignment across the network
Contribute to continuous improvement initiatives by identifying process enhancement opportunities and supporting project execution
Provide forecasting insights that support inventory management, supply chain planning, and the Sales & Operations Planning (S&OP) process
What You Bring
Analytical Thinking
Strong analytical mindset with the ability to identify patterns, trends, and root causes
Ability to transform data into meaningful business insights and recommendations
Data Analysis
Interest in working with large and complex datasets
Experience using analytical tools and translating data into actionable outcomes
Communication & Collaboration
Ability to communicate findings clearly to different audiences
Strong collaboration skills and confidence working with stakeholders across teams and regions
Problem Solving
Proactive mindset focused on continuous improvement
Structured approach to investigating issues and identifying practical solutions
Ability to manage multiple priorities while maintaining attention to detail
Your Background
Bachelor's degree in Business, Supply Chain, Economics, Data Analytics, Engineering, or a related field
Fluent English
Proficient user of Excel
Nice to Have
Previous experience in forecasting, demand planning, supply chain, business analytics, or related areas
Experience working with large datasets and performance reporting
Experience with analytical and reporting tools such as Python, Power BI, Power Query etc.
Effective communicating and presenting skills with different stakeholders
Knowledge of data visualization and business intelligence concepts
Experience working in a cross-functional or global business environment
What We Offer
Salary: Gross £31,414 - £39,267 (depending on experience)
Benefits: 27 days annual leave + bank holidays, opportunity to buy additional holiday, up to 9% Bonus, contributory pension scheme - Caterpillar will double the employee's contribution up to 10%, contributory share scheme - Caterpillar will match 50% of the employee's contribution, Employee Support Networks – join groups that offer support, connection, and a sense of community, optional flexible benefits including access to private health and dental care plans, EV car lease etc
Additional Information
On-site presence is required
Posting Dates:
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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