Embedded Product Analytics Engineer

Career Area:

Engineering

Job Description:

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.

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team that cares not just about the work we do, but also about each other. We are makers, problem solvers, and future world builders creating stronger, more sustainable communities. Together, we are building a better world, so we can all enjoy living in it.

Job Summary

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.

How You Will Make an Impact:

Engineering Analytics - Transform engineering and product-performance data into insights that support product development, product improvement, field investigations, and engineering decision-making.

Condition-Monitoring Development - Develop condition-monitoring content that uses telematics and engineering data to identify equipment failure signatures.

Product-Support Engineering - Support engineering-analysis requests that contribute to New Product Introduction, Continuous Product Improvement, and the investigation of field issues.

Engineering-Domain Application - Apply engine and mechanical-system understanding to evaluate data quality and distinguish valid engineering data from invalid data.

Global Engineering Collaboration - Partner with engineering stakeholders and global team members to define analytical needs and deliver documented solutions.

What You will do:

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.

What Skills You Will Have:

Domain Knowledge: Basic Understanding

Knowledge of a specific engineering domain, its current trends, directions, and relevant considerations, with the ability to apply domain-specific knowledge to product analytics, product support, field investigations, and condition-monitoring initiatives.

Identifies key concepts and features associated with engines, mechanical systems, and rotating components.

Describes products, systems, and applications relevant to the engineering environment.

Identifies major initiatives, key issues, and current trends affecting product performance and reliability.

Describes where and how to obtain current domain-specific information.

Applies foundational engine and mechanical-system knowledge to help distinguish valid engineering data from invalid data.

Technical Analysis: Basic Understanding

Knowledge of the concepts, methodologies, and activities involved in technical analysis, including the use of technical indicators to evaluate engineering and product-performance data.

Lists commonly used technical analysis tools and technologies.

Documents key technical analysis procedures and policies.

Describes basic concepts and major activities associated with technical analysis.

Identifies sources of information from which required data and technical indicators can be obtained.

Recognizes engineering, telematics, and product-performance data sources relevant to analytical investigations and condition-monitoring development.

Analytical Thinking: Working Knowledge

Knowledge of techniques and tools that promote effective analysis, with the ability to identify root causes and develop alternative solutions.

Defines a problem or issue and determines its significance before beginning an analysis.

Makes systematic comparisons between two or more alternative solutions.

Uses analytical tools and methods to disclose meaningful data patterns.

Identifies the major forces, events, and stakeholders affecting and affected by the situation.

Uses logic, engineering judgment, and intuition to interpret data and reach meaningful conclusions.

Applies analytical thinking to engineering-analysis requests, product-performance questions, and field issue investigations.

Decision Making and Critical Thinking: Basic Understanding

Knowledge of decision-making processes, tools, and techniques, with the ability to analyze situations and contribute to informed decisions.

Explains the characteristics and steps of an effective decision-making process.

Identifies issues and communicates with others when a decision is required.

Recognizes the decision makers within the working environment and understands how decisions affect assigned work.

Understands the types of decisions that may and may not be made within the scope of the role.

Communicates analytical findings that support engineering and product-support decisions.

Effective Communications: Working Knowledge

Understanding of effective communication concepts, tools, and techniques, with the ability to accurately transmit, receive, and interpret technical ideas, information, and needs.

Delivers helpful feedback that focuses on behaviors and supports productive working relationships.

Listens to feedback without defensiveness and uses it to improve