Career Area:

Technology, Digital and Data

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.

Role Definition:

Drivetrain makes progress possible by delivering power from the engine to the ground.  Drivetrain components are used at 25 Prime Products facilities around the world, manufactured at 18 Caterpillar facilities, and procured from over 1,000 global suppliers.The Drivetrain Engineered Value Chain team work to improve the availability of Drivetrain components enabling increased machine sales.  They focus on developing, optimizing, and managing the chain – not each link individually.The Analytics Manager will lead the team of Data Specialists and Data Scientists developing tools and advanced analytics needed to solve the challenges in the complex Drivetrain business.  The Analytics Manager will keep the DT analytics team aligned with cutting edge technologies, including cloud infrastructure and corporate AI initiatives, to stay current with industry technology and processes.

Key Responsibilities:

Leading a team of Data Specialists and Data Scientists to drive data-driven decision-making, translating complex data into actionable business insightsGuiding the team in implementing protocols to ensure accuracy and consistency in data pipelinesTranslates business/department vision into specific projectsEnsuring project expectations and results are achieved and communicated to project owners/leadership on regular intervalsEstablishing, monitoring, and communicating key performance metrics for the data projects/data team

Required Key Skills:

Deep understanding of data modelling, data mining, and statistical techniquesStrong knowledge of SQL, Python, Pyspark/R, and data visualization tools like Tableau, Power BIProject management/ Scrum master experience for handling project timelinesAble to apply the statistical knowledge for solving the business problemsKnowledge of Snowflake architecture (recommended)

Skill Descriptors:

Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.

Level Extensive Experience:

• Generates and interprets a wide range of statistical data and reports.

• Utilizes in-depth knowledge of several statistical tools or applications.

• Consults and coaches others on sampling approaches and associated statistical significance.

• Teaches use of standard deviation, correlation, and covariance on various types of data.

• Establishes metrics and surveys with reasonable and appropriate randomness and sample size.

• Instructs others in statistical concepts and techniques and their application to business.

Products and Services: Knowledge of major products and services and product and service groups; ability to apply knowledge of product and service appropriately to diverse situations.

Level Extensive Experience:

• Oversees development activities for multiple products or product lines.

• Advises colleagues on implementation and operational considerations.

• Coaches others on key factors that differentiate offerings from that of competition.

• Develops procedures for product planning, development, and delivery cycles.

• Promotes understanding of multiple product and service groups and their interdependencies.

• Monitors regulatory and environmental issues and considerations.

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.

Level Extensive Experience:

• Seeks discrepancies and inconsistencies in available information; explains variances.

• Organizes and prioritizes the sequence of steps to be taken to remedy the situation.

• Identifies many possible causes for a problem based on prior experience and current research.

• Quantifies the costs, benefits, risks and chances for success before recommending a course of action.

• Approaches a complex problem by breaking it down into its component parts.

• Chooses among a diverse set of analytical tools according to the nature of the situation.

Innovation: Knowledge of the value of innovation; ability to create and develop new ideas for answers to work-related problems that improve the performance of the organization.

Level Extensive Experience:

• Finds new or non-traditional ideas to improve effectiveness in team's area of responsibility.

• Guides team members in the development and fulfillment of proposed innovations.

• Fosters a team culture that encourages exploration of non-traditional ideas.

• Encourages and embraces exploration of non-traditional ideas from team members.

• Implements strategies for renewing or deepening change efforts.

• Develops change initiatives that target improvement of significant organizational capabilities.

Organizational Leadership: Knowledge of leadership concepts and ability to use strategies and skills to enlist others in setting, embracing and achieving objectives.

Level Extensive Experience:

• Employs various group decision-making methods depending on the situation.

• Promotes efficacy through monitoring, coaching & motivating subordinates, intervention, etc.

• Translates vision into specific functional or departmental initiatives.

• Uses emotional contagion to affect the mood of group members, tone of group and group processes.

• Uses a normative decision model (with leadership styles and situational variables) to select style.

• Initiates structure: role clarification, setting standards, holding subordinates accountable, etc.

Design Thinking: Knowledge of concepts, principles, and processes of design thinking; ability to utilize the knowledge in designing new products and services and even improving organizational operation.

Level Extensive Experience:

• Monitors the processes and procedures of design thinking projects.

• Defines the objectives and scope of design thinking projects.

• Coaches others on the methods and techniques to analyze clients requirements accurately.

• Leads to implement agile methodology in design thinking processes.

• Directs a pilot test on the innovation and prototypes; makes improvements based on testing results.

• Provides consultancy on complicated scenarios and negotiation problems.

Emerging Technologies: Knowledge of emerging technologies; ability to design, apply and evaluate new information technologies for business environments.

Level Extensive Experience:

• Evaluates best practices of emerging information technologies to learn and understand principles and applications.

• Evaluates business accuracy and productivity levels derived from information technology influences.

• Guides junior-level staff on the effective implementation of new information technologies within the organization.

• Determines long-term, strategic requirements for the design of information technologies.

• Monitors information technology users to ensure compliance with organizational policies.

• Resolves all technical and administrative problems that occur in the design, application and evaluation of information technology.

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.

Level Working Knowledge:

• Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.

• Utilizes specific tools and techniques to process descriptive and inferential statistics.

• Applies specific computing languages and tools in machine learning, such as R and Python.

• Explores to use machine learning in one own areas to make business improvements.

• Conducts data mining and cleaning initiatives.

Additional information: This job required 5working days from office.

This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act.

Relocation is available for this position.

Posting Dates:

February 11, 2026 - February 25, 2026

Caterpillar is an Equal Opportunity Employer.  Qualified applicants of any age are encouraged to apply

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