Data Specialist

Career Area:
Technology, Digital and Data

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.

The Strategic Procurement and Planning (SPPD) Supplier Quality team is seeking a Data Specialist who can transform complex data into actionable insights that drive quality improvement, reduce warranty exposure, and elevate supplier performance across the enterprise. In this role, you will combine business intelligence (BI), data visualization, statistical analysis, and machine learning to uncover trends, identify risks, and enable smarter, faster decision‑making.

You’ll partner closely with quality, procurement, and engineering teams to translate real‑world manufacturing challenges into scalable analytics solutions—building dashboards, predictive models, and AI‑enabled tools that deliver measurable impact. This role also supports emerging AI, automation initiatives making it an exciting opportunity to shape the future of analytics in a manufacturing environment.

This is a high‑visibility, high‑impact role directly supporting key initiatives, including work that is influential across the enterprise. You will play an important role in managing and improving supplier warranty recovery efforts, making your contributions highly measurable and visible across the organization. The projects you’ll support are tied to critical, high‑profile business priorities, offering the opportunity to see your analytics work translate into tangible financial and operational outcomes.

If you are motivated by solving meaningful problems, driving enterprise impact, and working on initiatives that matter at the highest levels, this role provides a unique platform to do so.

• Maintain and enhance business intelligence (BI) tools and dashboards to support supplier quality and warranty analytics.

• Analyze business and customer requirements to develop scalable, implementable, and maintainable data solutions aligned to enterprise models.

• Identify and resolve data quality issues across large, complex datasets from multiple enterprise sources.

• Develop and apply data visualizations (dashboards, reports) to communicate insights and influence decision‑making.

• Build and deploy predictive analytics and machine learning models to identify quality risks, supplier performance trends, and warranty exposure.

• Partner with cross‑functional teams to translate business problems into statistical and machine learning approaches.

• Prepare structured datasets for analytics, visualization, and machine learning through ETL processes.

• Support cloud‑based data environments and analytics workloads for scalable solution delivery.

• Contribute to emerging AI, automation, and Copilot‑enabled solutions

• Work within agile development frameworks to iteratively deliver dashboards, analytics products, and AI‑driven solutions.

• Clearly communicate complex insights and technical concepts to both technical and non‑technical stakeholders.

• Ability to plan, execute, monitor, and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.

• Demonstrates the ability to connect data analytics, data visualization, and machine learning solutions to measurable business outcomes such as quality improvement, supplier performance optimization, and reduction of warranty exposure.

• Effective presentation tools and techniques to ensure clear understanding

• Ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience.

• Capable of translating advanced analytics, dashboards,…