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Internship Starbucks Data Analytics Jobs (NOW HIRING)

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Microsoft

Senior Manager - Data Analytics

Redmond, WA · On-site

... prior roles, internships, or coursework. * Experience with Python, R, or another scripting ... Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 ...

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How much do internship starbucks data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship starbucks data analytics in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Starbucks Data Analytics vs Data Analyst Intern?

AspectInternship Starbucks Data AnalyticsData Analyst Intern
Required CredentialsRelevant coursework, basic data skillsRelated coursework, some technical knowledge
Work EnvironmentCorporate retail setting, Starbucks officesVaries, often corporate or tech companies
Employer & IndustryStarbucks, retail & hospitalityVarious industries, tech, finance, retail
Common Search & ComparisonYesYes

Internship Starbucks Data Analytics focuses on gaining experience in data analysis within Starbucks' retail environment, emphasizing customer insights and sales data. Data Analyst Intern roles are broader, applicable across industries, and may involve more technical skills. Both internships provide valuable industry exposure but differ mainly in industry focus and specific job tasks.

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Internship Starbucks Data Analytics jobs near you
Infographic showing various Internship Starbucks Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Re-posted 10 days ago

Trinity Industries rating

6.5

Company rating: 6.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

404th of 487 rated machine equipment manufacturers

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.
This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.
What You'll Do:
  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.

What You'll Have:
  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have
  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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