Embedded Product Analytics Engineer

Caterpillar Inc.•Lafayette, IN

3d•$97,530 - $146,290•Onsite

About The Position

As an Embedded Product Analytics Engineer, you will transform product and engineering data into actionable insights that support New Product Introduction (NPI), Continuous Product Improvement (CPI), field issue investigations, condition-monitoring development, and product-support engineering. This role combines engineering-domain expertise, coding, analytics, and condition-monitoring development to help improve product performance, reliability, and customer outcomes. Working closely with engineering stakeholders, you will analyze product-performance data, clarify analytical requirements, investigate product behavior, and develop condition-monitoring content that identifies potential failure signatures using telematics and engineering data. Through a team-based ticketing process plus project work, you will support a diverse portfolio of engineering requests that directly influence product development, product improvement, and field support activities. You will collaborate with internal engineering partners, industry stakeholders, and global team members while supporting small projects and developing the capabilities to lead appropriate initiatives with coaching from experienced team members. This role is ideal for someone who enjoys combining hands-on engineering knowledge with analytics and coding to solve real-world equipment and product challenges. Successful candidates will bring an engineering foundation, strong analytical and communication skills, an interest in coding and data-driven problem solving, and the ability to apply engine and mechanical-system knowledge to evaluate engineering data and develop meaningful insights. Preferred experience includes Python, SQL, engines, mechanical systems, rotating components, hands-on equipment experience, and project leadership.

Requirements

Engineering-based education and/or relevant engineering experience.
Ability to perform engineering data analysis.
Ability to distinguish valid and invalid engineering data using mechanical-system understanding.
Capability to work within a product-support and engineering-analysis environment.
Interest in coding and analytics.
Strong communication capability.

Nice To Haves

Python experience.
SQL experience.
Engine knowledge beyond the basic understanding required for the role.
Mechanical-system knowledge.
A mechanical, electrical, or mechatronics engineering background.
Hands-on equipment experience.
Project leadership capability.

Responsibilities

Analyze engineering and product-performance data.
Support Continuous Product Improvement, New Product Introduction, and field-investigation requests.
Work from engineering requests submitted through the team’s ticketing process.
Collaborate with requesting engineering teams to clarify analytical requirements.
Develop, code, document, deploy, and hand off condition-monitoring content.
Support condition-monitoring initiatives that identify failure signatures from telematics and engineering data.
Collaborate with internal engineering partners and industry stakeholders.
Communicate and collaborate effectively with India-based team members, including participating in occasional early-morning meetings.
Learn and apply team procedures and quality-check processes.
Support small projects and lead appropriate projects with coaching from experienced team members.
Develop a condition-monitoring failure model and complete the model for handoff to Cat Digital for deployment.