Data Scientist

Caterpillar Inc.•Morton, IL

5d•$81,370 - $122,060•Onsite

About The Position

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you’re joining a global team who care not just about the work we do – but also about each other. We are the makers, problem solvers and future work 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. Our Product Support and Logistics Division (PSLD) is one of the most innovative divisions within Caterpillar. In PSLD, as within all of Caterpillar, our priority is our customers and helping them build a better world. We touch nearly every element of the services value stream. PSLD is responsible for Aftermarket Parts Distribution of Cat Parts, Integrated Logistics and Global Services supporting Caterpillar dealers and customers. Our teams work together in critical areas that leverage digital capabilities, technology and operational excellence. As a Data Scientist, you will be responsible for analyzing and mining large datasets to uncover trends, identify root causes, and support data-driven business decisions. You will support and enhance Power BI reporting solutions, manage and troubleshoot data access and Snowflake views, and partner with cross-functional teams to improve data processes and reporting capabilities. This role offers the opportunity to develop deep expertise in dealer data while combining technical analytics skills with business and inventory management knowledge.

Requirements

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 that resolve these problems.
Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Nice To Haves

Supply Chain, Logistics, or related degree knowledge.
Strong curiosity and willingness to learn new technologies, processes, and data domains.
A motivated, growth-minded approach to problem solving.
Ability to bring fresh ideas and perspectives to a highly collaborative team.
Interest in using data and analytics to drive business decisions.

Responsibilities

Analyze and mine large datasets to identify trends, root causes, and opportunities for business improvement.
Support data-driven decision making through data analysis, reporting, and insight generation.
Develop expertise in dealer data, business processes, and inventory management operations.
Monitor and support the Response Hub by responding to data-related inquiries and coordinating with subject matter experts.
Grant, manage, and troubleshoot user access to data and reporting systems.
Serve as a view owner and steward for assigned data domains, ensuring data accuracy and accessibility.
Maintain and manage Snowflake views, including understanding and supporting underlying business logic.
Support, troubleshoot, and enhance Power BI reports and dashboards.
Investigate and resolve reporting failures and data issues within Power BI environments.
Partner with global teams, including IT and development resources, to implement reporting and analytics improvements.
Collaborate with cross-functional stakeholders to support end-to-end business solutions and data initiatives.
Continuously learn and apply new technical and business knowledge to improve analytics capabilities and processes.