Data Scientist
Caterpillar Inc.
About the Role
- Role is located in Morton, IL and does not offer relocation.
- This role is 1st shift, Monday – Friday.
- This role is 100% on-site with no opportunity for hybrid or remote schedules.
- This role requires up to 10% domestic travel.
- Visa Sponsorship is not available for this position.
- Any offer of employment is conditioned upon the successful completion of a drug screen.
Key Responsibilities
- Extract, transform, and analyze data using SAS and similar analytics tools.
- Develop and maintain data tables and datasets within Snowflake.
- Write and maintain code to support data analysis and reporting needs.
- Design and develop Power BI dashboards and other analytics solutions.
- Create data visualizations that translate complex information into meaningful business insights.
- Support the development and implementation of new analytics tools and capabilities.
- Partner with business stakeholders to understand data and reporting needs.
- Maintain and enhance existing analytics, dashboards, and data solutions as business needs evolve.
Requirements & Tech Stack
- SAS
- Power BI
- Snowflake
- Programming Languages (basic concepts and capabilities)
Qualifications
- Business Statistics: Knowledge of statistical tools, processes, and practices; ability to use statistical tools and processes to assist in making business decisions.
- Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
- Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions.
- Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements.
What Will Set You Apart
- Experience with Power BI, SAS, or similar data and analytics tools.
- Business or functional experience paired with strong technical capabilities.
- Experience using data and technical skills to develop solutions for a business or functional area.
- Ability to translate business needs into practical data, reporting, or analytics solutions.
- Strong communication skills with the ability to translate technical concepts for non-technical business stakeholders.
- Demonstrated ability to partner closely with the business rather than working solely within an analytics function.
- A balance of business acumen, problem-solving, and hands-on technical development skills.