Senior Embedded Product Analytics Engineer

Caterpillar•Lafayette, IL

2d•Onsite

About The Position

The Senior Embedded Product Analytics Engineer transforms product and engineering data into actionable insights supporting New Product Introduction (NPI), Continuous Product Improvement (CPI), field issue investigations, condition-monitoring development, and product-support engineering. The role combines engineering-domain expertise, coding, analytics, and condition-monitoring development to improve product performance, reliability, and customer outcomes. Working with engineering stakeholders, the engineer analyzes product-performance data, clarifies analytical requirements, investigates product behavior, and develops condition-monitoring content to identify potential failure signatures using telematics and engineering data. Work includes a team-based ticketing process and project work across engineering requests that influence product development, product improvement, and field support. The position collaborates with internal engineering partners, industry stakeholders, and global team members; supports small projects; and may lead appropriate initiatives with coaching from experienced team members. The position is primarily onsite five days per week, with a preferred location in Mossville, Illinois, and an additional acceptable location in Lafayette, Indiana. Travel is approximately 0–10%. Occasional early-morning or non-standard-hour meetings may be needed to collaborate with international teams. Relocation is available. Visa sponsorship is not available.

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 in a product-support and engineering-analysis environment.
Interest in coding and analytics.
Strong communication capability.
Working understanding of an engineering domain and the ability to apply domain-specific knowledge to product analytics, product support, field investigations, and condition-monitoring initiatives.
Knowledge of engines, mechanical systems, and rotating components sufficient to identify relevant concepts and product applications.
Basic understanding of technical analysis concepts, methods, tools, and data sources relevant to engineering, telematics, and product-performance investigations.
Extensive analytical thinking skills, including defining problems, identifying root causes, comparing alternatives, recognizing data patterns, and drawing conclusions using logic and engineering judgment.
Working understanding of decision-making and critical-thinking processes, including communicating when decisions are needed and supporting decisions with analytical findings.
Working knowledge of effective communication, including preparing reports and documentation, presenting technical information, and adapting communication to different audiences.
Working knowledge of relevant engineering and analytical technologies, technical procedures, and project standards.
Working knowledge of requirements analysis, including eliciting, clarifying, documenting, and confirming analytical requirements with stakeholders.
Ability to collaborate with global team members, including occasional early-morning meetings.

Nice To Haves

Python experience.
SQL experience.
Engine knowledge beyond the basic understanding required for the role.
Mechanical-system knowledge.
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.
Process engineering-analysis 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 initiatives that identify equipment failure signatures using telematics and engineering data.
Collaborate with internal engineering partners, industry stakeholders, and global team members.
Participate in occasional early-morning or non-standard-hour meetings with India-based colleagues.
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 it for handoff to Cat Digital for deployment.
Apply engine and mechanical-system knowledge to evaluate data quality and distinguish valid engineering data from invalid data.
Communicate and document analytical findings to support engineering and product-support decisions.