Mining Forecast Analyst

Caterpillar Inc.•Peoria, IL

3d•$97,530 - $146,290•Onsite

About The Position

Caterpillar's Central Forecasting team is seeking a Mining Forecast Analyst to support global Resource Industries forecasting. This role plays a key part in developing, analyzing, and communicating forecasts that influence business planning and decision‑making across the organization. As an individual contributor, you will leverage economic insight, statistical methodologies, and data analytics tools to develop forecasts across Sales to Users, Dealer Inventory, Commercial Shipments, and Industry demand. You will partner closely with business stakeholders to translate data into actionable insights and effectively communicate findings to leadership.

Requirements

Strong foundation in economic analysis, statistical modeling, or quantitative forecasting
Ability to analyze trends and develop data-driven forecasts and scenarios
Experience with Power BI, Excel, and data analysis tools
Exposure to Python or similar analytical tools is a plus
Ability to effectively communicate complex information to a broad set of stakeholders, including leadership
Experience translating analysis into insights and recommendations
Master’s degree Economics, Finance, Data Analytics, Mathematics, or a related field.

Nice To Haves

Experience in statistical forecasting or sales and operations planning (S&OP)
Ability to identify patterns, trends, and gaps in complex datasets
Experience presenting analytical insights to leadership audiences
Exposure to mining, construction, or industrial markets
Experience using Power BI or similar visualization tools

Responsibilities

Monitor economic trends and market conditions impacting Mining, Quarrying, and Resource Industries
Develop forecasts for: Monthly Sales & Operations Planning (S&OP), Long Term Forecast (LTF), Annual Business Planning (ABP)
Track Sales to User, Shipment, and Order activity, analyzing variances and identifying forecast risks
Develop and maintain forecasting models using statistical and economic methodologies
Utilize tools such as Power BI, Excel, and data platforms to build reports, visualize trends, and communicate insights
Translate complex data into clear, actionable insights to support business decisions
Partner with business teams to align forecasts and communicate findings to leadership audiences
Prepare and deliver reports through presentations, written analysis, and meetings
Support ad hoc analysis and forecasting requests as needed