Data Analytics / Machine Learning Analyst

Caterpillar Caterpillar · Industrial · Santa Catarina, Nuevo León

Performs analytical tasks and leads data initiatives on large volumes of data to generate insights that support data-driven business decisions, leveraging statistical analysis, data modeling, visualization, NLP, and machine learning techniques.

What you'd actually do

  1. Lead data gathering, data mining, data cleansing, and processing activities for large datasets, ensuring data quality and availability.
  2. Design and develop appropriate data models to support analysis and insight generation.
  3. Explore, promote, and implement semantic data capabilities using Natural Language Processing (NLP), text analytics, and machine learning.
  4. Lead requirements definition and scope for data analysis initiatives in collaboration with business stakeholders.
  5. Present findings, insights, and recommendations to management using data visualization tools.

Skills

Required

  • Understanding programming logic
  • Writing and maintaining code
  • Following documentation standards.
  • Writing queries using SQL or similar tools
  • Accessing data warehouses
  • Filtering, sorting, and transforming data
  • Knowledge Power BI
  • Understanding basic ML concepts and differences vs. deep learning
  • Applying ML techniques in business scenarios
  • Supporting predictive or classification models.

Nice to have

  • Microsoft Certified: Azure Data Fundamentals (DP‑900)
  • Microsoft Certified: Power BI Data Analyst (PL‑300)
  • Data Warehousing / ETL pipelines

Other signals

  • Leverages statistical analysis, data modeling, visualization, natural language processing, and machine learning techniques.
  • Explore, promote, and implement semantic data capabilities using Natural Language Processing (NLP), text analytics, and machine learning.
  • Conduct research on data model optimization and advanced algorithms to improve accuracy and effectiveness of analysis.
  • Supporting predictive or classification models.