묘사
Career Area:
Technology, Digital and DataJob 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.
Job Summary:
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 develop appropriate data models 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 Degree required in Data Science, Systems Engineering, Industrial Engineering or related field
English Intermediate
Skill Descriptors:
Programming Languages:
Understanding programming logic
Writing and maintaining code
Following documentation standards.
Query and Database Access Tools
Writing queries using SQL or similar tools
Accessing data warehouses
Filtering, sorting, and transforming data
Knowledge Power 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 is five-day a 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
Please frequently check 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, age or disability. In this company we do not request pregnancy tests, nor HIV tests as requirements for employment entry, permanence or 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, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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