Solution Analyst Intern

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

Our company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

Our Internship Program

Our Mexico Intern program starts in September ending in March. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges. Our culture isn’t just about one kind of person. So many individuals make up who we are, making us that much more unique. This is what sets apart the dynamic, diverse, and collaborative environment that is Teradata.

What You’ll Do

You will contribute across the analytics delivery lifecycle—from understanding data and building solutions, to exploring AI capabilities that help our team work smarter.

• Explore and analyze data using SQL and Python, asking business questions, spotting patterns, and turning raw datasets into clear, actionable insights for internal stakeholders.
• Build and test analytics prototypes—dashboards, reports, or data models—that give teams faster access to the information they need to make decisions.
• Experiment with AI and agentic tools on top of Teradata’s platform, helping automate repetitive analyst tasks and surface insights that would otherwise take days to find manually.
• Validate data quality across pipelines—checking for completeness, accuracy, and consistency—and flag issues with clear documentation so engineers can act quickly.
• Act as a Customer Zero advocate: use Teradata’s own autonomous knowledge platform capabilities day-to-day, compare them honestly against best-in-class tools in the market, and share structured feedback that helps shape what we build next.

What You’ll Gain

• Real project experience on a live analytics platform used by a global enterprise—not a training sandbox—so you graduate with work you can talk about in any interview.
• A practical understanding of how AI is being applied inside a data company right now: what works, what doesn’t, and how teams make decisions about which tools to adopt.
• Mentorship from senior engineers and data scientists through weekly 1:1s, regular code reviews, and a structured mid-program check-in to keep your growth on track.
• A Customer Zero experience: you will have used, evaluated, and influenced Teradata’s own AI platform—giving you a rare perspective on enterprise product development that most early-career candidates simply don’t have.

Who You’ll Work With

You will sit on the Analytics Center of Excellence (CoE) within Teradata’s Enterprise Knowledge Platform & Intelligence Engineering organization, a cross-functional team of solutions analysts, data scientists, data engineers, data modelers, architects, and product managers who translate business needs into scalable analytics solutions. This role reports to the Director of Analytics CoE. Day-to-day, you will collaborate closely with data engineers on pipeline design, with AI/ML engineers on agent development, and with DevOps engineers on CI/CD automation—giving you broad exposure to the full analytics delivery lifecycle.

What Makes You a Qualified Candidate

• Currently 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; able to explain findings to a non-technical audience
• Available for a 12–16 week hybrid internship

Preferred

• Curiosity about AI, large language models, or data engineering—whether through coursework, projects, or self-study
• Exposure to a cloud platform (AWS, Azure, or GCP) or a data visualization tool (Tableau, Power BI)
• Any experience experimenting with LLM APIs or agentic frameworks (LangChain, AutoGen, or similar)

What You’ll Bring

• You are genuinely curious about data and AI—you have explored tools, asked questions, or built something small just to understand how it works.
• You learn by doing and are not afraid to be wrong; you ask for feedback early and iterate quickly rather than waiting for the perfect answer.
• You communicate clearly and honestly—when something is confusing or unclear, you say so and ask questions rather than guessing.
• You care about the quality of your work and the people who will use it, whether that’s a teammate reading your code or a stakeholder relying on your analysis.

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