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Analytics Intern Jobs in Texas (NOW HIRING)

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 ...

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 ...

Oracle

GDI Business Analyst Intern - OVIP

Austin, TX · On-site

$19.09 - $36.35/hr

The Business Analyst is expected to work with the GDI Performance Management team to ensure documentation, processes and policies up to date and adopted. Required Skills & Experience: * Experience ...

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All JobsAnalytics Intern JobsAnalytics Intern Jobs in Texas

Analytics Intern information

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How much do analytics intern jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for analytics intern in Texas is $15.87, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.93 per hour, depending on experience, location, and employer.

What types of projects and tasks can an Analytics Intern typically expect to work on during their internship?

As an Analytics Intern, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, conducting exploratory data analysis, creating dashboards or reports, and supporting more senior analysts with ad hoc data requests. Interns often collaborate closely with both technical teams and business stakeholders to understand project goals and deliver actionable insights. This hands-on experience not only builds practical analytical skills but also provides exposure to real-world business challenges, making it an excellent learning opportunity. Additionally, interns may present findings to team members or participate in brainstorming sessions, gaining valuable communication and teamwork experience.

What does an Analytics Intern do?

An Analytics Intern typically assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. They often work with tools like Excel, SQL, or data visualization software to create reports, spot trends, and provide insights. The role may also involve cleaning data, preparing presentations, and supporting senior analysts in various projects. This position is ideal for students or recent graduates looking to gain practical experience in data analytics and business intelligence.

What are the key skills and qualifications needed to thrive as an Analytics Intern, and why are they important?

To thrive as an Analytics Intern, you need a strong foundation in quantitative analysis, statistical methods, and proficiency in data interpretation, often supported by coursework in mathematics, statistics, or related fields. Familiarity with tools like Microsoft Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Attention to detail, problem-solving ability, and effective communication are critical soft skills that help convey insights clearly and work well within a team. These skills ensure that analytical tasks are performed accurately and findings can be translated into actionable business strategies.

What is the difference between Analytics Intern vs Data Analyst?

AspectAnalytics Intern
Required CredentialsTypically pursuing or recent graduate in related field; no extensive experience needed
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firms
Employer & Industry UsageCommonly used in companies seeking entry-level support for data projects
Comparison SummaryThe Analytics Intern role is an entry-level position aimed at students or recent graduates gaining practical experience. In contrast, a Data Analyst typically requires more experience and skills, handling complex data analysis tasks. Internships serve as a stepping stone into the data industry, while Data Analysts are full-time professionals responsible for ongoing data insights and reporting.
What are the most commonly searched types of Analytics jobs in Texas? The most popular types of Analytics jobs in Texas are:
What cities in Texas are hiring for Analytics Intern jobs? Cities in Texas with the most Analytics Intern job openings:
Analytics Intern jobs near you
Infographic showing various Analytics Intern job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $33,014 per year, or $15.9 per hour.

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Re-posted 27 days ago

TrinityRail rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

136th of 171 rated vehicle equipment hire

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.

Qualifications
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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