
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.
Perform analytical tasks and lead data initiatives on large volumes of data to generate insights that support data-driven business decisions. Leverages statistical analysis, data modeling, visualization, natural language processing, and machine learning techniques.
What will you do:
Lead data gathering, data mining, data cleansing, and processing activities for large datasets, ensuring data quality and availability.
Design and developappropriate datamodels to support analysis and insight generation.
Explore, promote, and implement semantic data capabilities using Natural Language Processing (NLP), text analytics, and machine learning.
Lead requirements definition and scope for data analysis initiatives in collaboration with business stakeholders.
Present findings, insights, and recommendations to management using data visualization tools.
Conduct research on data model optimization and advanced algorithms to improve accuracy and effectiveness of analysis.
Translate business needs into actionable analytical solutions.
Ensure accuracy, consistency, and reliability of data used in reports, dashboards, and models.
Education Requirement:
Bachelor’s DegreerequiredinData Science,Systems Engineering,IndustrialEngineeringor related field
EnglishIntermediate
Skill Descriptors
Programming Languages
Understanding programming logic
Writing andmaintainingcode
Following documentation standards
Query and Database Access Tools
Writing queries using SQL or similar tools
Accessing data warehouses
Filtering, sorting, and transforming data
KnowledgePower BI
Machine Learning:
Understanding basic ML concepts and differences vs. deep learning
Applying ML techniques in business scenarios
Supporting predictive or classification models.
Top Candidates also have:
Microsoft Certified: Azure Data Fundamentals (DP‑900)
Microsoft Certified: Power BI Data Analyst (PL‑300)
Data Warehousing / ETL pipelines
Additional Information:
Location Santa Catarina, Nuevo León.
This position isfive-daya week in-office model. Monday to Friday 7am to 4:00pm
Do not forget to include a resumé in English in your profile in Workday
Final details
Pleasefrequentlycheck the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.
The Caterpillar Code of Conduct states that we will select, and place employees based on their qualifications for the job to be performed, without regard to race, religion, national origin,color, gender, gender identity, sexual orientation,ageor disability. In this company we do not request pregnancy tests, nor HIV tests as requirements for employment entry,permanenceor promotion.
For more information, visit caterpillar.com. To connect with us on social media, visit caterpillar.com/social media
Posting Dates:
June 16, 2026 - June 23, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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For 100 years, we’ve been helping customers build a better, more sustainable world. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
With 2024 sales and revenues of $64.8 billion, Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives.
Caterpillar does business on every continent, principally operating through three primary segments – Construction Industries, Resource Industries and Energy & Transportation – and provides financing and related services through our Financial Products segment.