Business Intelligence Analyst

Caterpillar Inc.•Peoria, IL

8d•$89,210 - $133,810•Onsite

About The Position

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. Are you passionate about data, analytics, and technology? Join Caterpillar's Cat Digital organization as a Business Intelligence Analyst within Integrated Product Management and help transform data into actionable insights that drive business decisions. This entry-level role provides an opportunity to work alongside product owners, business partners, and analytics professionals to develop insight solutions and support strategic initiatives through data-driven decision-making. As a Business Intelligence Analyst, you will gain hands-on experience working with analytics tools, business intelligence platforms, and enterprise data environments while building foundational skills in data analysis, requirements gathering, data visualization, and stakeholder communication.

Requirements

Accuracy and Attention to Detail: Strong understanding of the importance of data quality and accuracy. Ability to perform analytical tasks with precision and attention to detail.
Effective Communication: Ability to clearly communicate technical and business concepts to a variety of audiences. Strong written and verbal communication skills with the ability to interpret and convey information effectively.
Business Data Analysis: Foundational knowledge of data analysis techniques and methodologies. Ability to collect, organize, analyze, and interpret business data to support decision-making.
Business Assessment: Understanding of how to evaluate business opportunities, risks, and potential outcomes. Ability to support analysis that drives business improvements and strategic recommendations.
Requirements Analysis: Knowledge of requirements gathering and documentation techniques. Ability to help define business needs and translate them into analytical and reporting solutions.
Technical Writing and Documentation: Ability to create and maintain technical documentation, reports, standards, and process materials.
Research and Problem Solving: Ability to research, evaluate, and apply information from multiple sources. Curiosity and willingness to learn new tools, technologies, and analytical approaches.

Nice To Haves

A bachelor’s degree in business Analytics, Data Science, Computer Science, Information Systems, Statistics, or a related field.
Experience in business intelligence with the ability to translate data into actionable insights through dashboards, reports, presentations or academic projects.
Experience using SQL for data querying and analysis.
Experience with business intelligence and visualization tools such as Tableau or Power BI.
Familiarity with modern data platforms and concepts such as Snowflake, GitHub, large datasets, or cloud-based analytics solutions.
Exposure to Python or other programming languages used for analytics and automation preferred

Responsibilities

Partner with product owners, business stakeholders, and team members to solve business problems through data analysis and visualizations
Develop, test, and deliver dashboards and visualizations that provide meaningful business insights
Analyze data to identify trends, opportunities, and areas for improvement, and communicate findings through clear and compelling data storytelling
Support the collection, documentation, and analysis of business and technical requirements.
Assist in evaluating existing visualization solutions and recommend enhancements that improve user experience and business value.
Research business and market trends to support visualizations and analytics strategies.
Create and maintain technical documentation, standards, and process guides that support ongoing reporting and analytics efforts.
Collaborate with cross-functional teams to ensure reporting solutions meet business needs and quality standards.