Analytics & AI Solutions Intern (Hybrid)

Teradata Group; México; Híbrido; MXN 89.000 - 156.000; Jornada completa

Descripción de la vacante

Teradata offers a Mexico-based internship where you contribute across the analytics lifecycle, from data understanding to exploring AI capabilities that enhance team efficiency. You will analyze data, build dashboards and data models, and experiment with AI tools on Teradata’s platform to surface insights and automate tasks.

The role emphasizes data quality, collaboration with engineers, and hands-on experience with enterprise-grade analytics.

Formación

• Pursuing a bachelor’s degree in Computer Science, Data Science, or a related field.
• Working knowledge of SQL and Python for data analysis.
• Comfortable with Git and basic command-line tools.
• Strong communication skills in English.
• Available for a 12–16 week hybrid internship.

Responsabilidades

• Explore and analyze data using SQL and Python to turn raw datasets into actionable insights.
• Build and test analytics prototypes—dashboards, reports, or data models for faster decision making.
• Experiment with AI and agentic tools on Teradata’s platform to automate repetitive analyst tasks.
• Validate data quality across pipelines and document issues for engineering teams.
• Act as a Customer Zero advocate by using Teradata’s autonomous knowledge platform and sharing feedback.

Conocimientos

SQL

Python

English communication

Educación

Bachelor's degree in CS/Data Science (in progress)

Herramientas

Git

CLI basics

Tableau/Power BI

LLM APIs exposure

Descripción del empleo

Teradata offers a Mexico-based internship where you contribute across the analytics lifecycle, from data understanding to exploring AI capabilities that enhance team efficiency. You will analyze data, build dashboards and data models, and experiment with AI tools on Teradata’s platform to surface insights and automate tasks.

The role emphasizes data quality, collaboration with engineers, and hands-on experience with enterprise-grade analytics.