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Internship Golf Data Analytics Jobs in Texas (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 ...

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Internship Golf Data Analytics information

What is an internship golf data analytics?

Internship Golf Data Analytics jobs are entry-level positions designed for students or recent graduates looking to gain hands-on experience in analyzing golf-related data. These roles typically involve collecting, organizing, and interpreting data from golf tournaments, player statistics, or course metrics to support decision-making for teams, coaches, or organizations. Interns may use software tools to visualize trends, create reports, and provide insights that can improve player performance and strategic planning. This internship is ideal for individuals with an interest in both golf and data analysis, and it often serves as a stepping stone to more advanced analytics roles in the sports industry.

What is the difference between Internship Golf Data Analytics vs Golf Data Analyst?

AspectInternship Golf Data AnalyticsGolf Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant program, basic data skillsBachelor's degree in data science, statistics, or related field; experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, responsible for ongoing data analysis
Employer & Industry UsageGolf courses, sports analytics firms, equipment companiesGolf clubs, sports organizations, analytics firms

The Internship Golf Data Analytics position is an entry-level, learning-focused role designed for students or recent graduates gaining experience in golf data analysis. In contrast, a Golf Data Analyst is a full-time professional responsible for analyzing and interpreting golf data to inform business decisions. The internship offers foundational exposure, while the analyst role involves more advanced responsibilities and expertise.

What types of projects can an intern expect to work on in a golf data analytics internship?

As a Golf Data Analytics intern, you can expect to work on projects involving data collection, cleaning, and analysis of various golf performance metrics. Typical tasks may include analyzing player statistics, creating visualizations to identify trends, and assisting in the development of predictive models to enhance coaching or tournament strategies. Interns often collaborate closely with coaches, data scientists, and IT teams, providing valuable insights to support decision-making. This hands-on experience offers exposure to both the technical and sports-specific aspects of analytics, setting a strong foundation for future roles in sports analytics.

What skills and qualifications are needed for an internship golf data analytics?

To thrive as an Internship Golf Data Analytics, you need a solid understanding of statistics, data analysis, and a background in mathematics or sports analytics. Familiarity with data visualization tools, programming languages like Python or R, and experience using analytics platforms such as Tableau or Microsoft Excel are typically required. Strong attention to detail, problem-solving skills, and effective communication make candidates stand out in this role. These skills and qualities are essential for accurately interpreting golf performance data and delivering actionable insights to coaches and players.

What are the most commonly searched types of Golf Data Analytics jobs in Texas?

The most popular types of Golf Data Analytics jobs in Texas are:

What are popular job titles related to Internship Golf Data Analytics jobs in Texas?

For Internship Golf Data Analytics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Internship Golf Data Analytics jobs in Texas look for?

The top searched job categories for Internship Golf Data Analytics jobs in Texas are:

What cities in Texas are hiring for Internship Golf Data Analytics jobs?

Cities in Texas with the most Internship Golf Data Analytics job openings:

Internship Golf Data Analytics jobs near you
Infographic showing various Internship Golf Data Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analytics Intern

Trinity Logistics Group

Dallas, TX

Internship

Re-posted 16 days ago

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.

Apply