Data Analyst

Caterpillar•Chicago, IL

About The Position

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. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world. Job Summary: Data is continuously generated by hundreds of thousands of Customers and Cat assets that are operated around the globe. This is creating a gold mine of information to support our customers growth and deliver insights to Caterpillar teams. As Business Intelligence analyst, you will join the Caterpillar Foresight team which focuses on developing a cutting edge application to support our dealership network. Comfortable working in challenging environments with a contagious passion for leveraging data analytics to inform decisions, you will play a key role helping develop and enhance the product By joining the Caterpillar ALI team, your contributions will support services offering for all industries served by Caterpillar. You will be an integral part of our team of talented analysts in Cat Digital, working alongside of other data scientists and analysts in the organization. You will gain experience in a vibrant and diverse multinational organization and develop your understanding of business practices and the data driven revolution.

Requirements

Accuracy and Attention to Detail: Ability to develop methods and utilize tools to ensure error-free automation.
Business Data Analysis: Technical background using datasets in SQL.
Interest in applying statistical methods and forecasting models.
Ability to collect required business data through various data sources and apply data analysis techniques to establish, modify, and maintain business data structures.
Effective Communications: Capacity to adapt documents and presentations for the intended audience. Ability to communicate with all levels of the business simplifying complex data to assist business partners and decision makers.
Product Design and Development: Assists in building a complex prototype of product.