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Statistical Analysis Intern 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 ... Science, Applied Math, Statistics, Operations Research, or similar quantitative field.

Canadian Solar

IE Engineer Intern

Mesquite, TX · On-site

$15.25 - $19.75/hr

The intern will work closely with experienced engineers on real engineering tasks such as ... basic statistical analysis to identify bottlenecks and improvement opportunities * Project ...

Canadian Solar

IE Engineer Intern

Mesquite, TX

$15.25 - $19.75/hr

The intern will work closely with experienced engineers on real engineering tasks such as ... basic statistical analysis to identify bottlenecks and improvement opportunities * Project ...

Baylor College of Medicine

Intern/Aide - Part-time

Houston, TX · On-site

$14.25 - $18.50/hr

... statistical analyses, interpreting research findings, and/or disseminating results through ... The intern is expected to quickly assume project roles of increasing complexity and independence ...

Baylor College of Medicine

Intern/Aide - Part-time

Houston, TX · On-site

$14.25 - $18.50/hr

... statistical analyses, interpreting research findings, and/or disseminating results through ... The intern is expected to quickly assume project roles of increasing complexity and independence ...

BSI Financial Services

Capital Markets Intern

Irving, TX · On-site

$15.50 - $20/hr

The intern will assist with data-driven assessments of large financial datasets to help identify ... Statistics, Data Analytics, or a related field * Strong analytical and quantitative skills

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Statistical Analysis Intern information

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How much do statistical analysis intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for statistical analysis intern in Texas is $32.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.70 and $49.47 per hour, depending on experience, location, and employer.

What does a statistical analysis intern do?

A Statistical Analysis Intern assists with collecting, organizing, and analyzing data to support business or research objectives. They use statistical techniques to identify trends, patterns, and insights within datasets, often using software such as Excel, R, or Python. Interns may also help prepare reports, visualizations, and presentations based on their findings. This role provides practical experience in applying statistical methods and interpreting results under the guidance of experienced analysts or statisticians.

What are the key skills and qualifications needed to thrive as a statistical analysis intern?

To thrive as a Statistical Analysis Intern, you need a solid understanding of statistics, data analysis, and proficiency in mathematics, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical software such as R, Python, or SAS, as well as experience with data visualization tools, is highly valuable. Strong attention to detail, critical thinking, and clear communication help interns interpret data effectively and share insights with teams. These skills and qualities are crucial for providing accurate analyses that drive informed business or research decisions.

What are some common challenges faced by statistical analysis interns during their internship?

Statistical Analysis Interns often encounter challenges such as learning to work with large, complex datasets and adapting to new statistical software or programming languages. They may also need to interpret ambiguous data or results and communicate their findings clearly to non-technical team members. Collaboration with experienced analysts and seeking feedback can help interns overcome these challenges and build practical skills for future roles.

Which internship is best for statistical analysis interns?

The best internship for statistical analysis interns typically involves roles at research organizations, data analytics firms, or corporate data departments that offer hands-on experience with statistical software like R or Python. Look for internships that provide exposure to real-world data projects, mentorship, and opportunities to develop skills in data cleaning, modeling, and visualization.
What are the most commonly searched types of Statistical Analysis jobs in Texas? The most popular types of Statistical Analysis jobs in Texas are:
What are popular job titles related to Statistical Analysis Intern jobs in Texas? For Statistical Analysis Intern jobs in Texas, the most frequently searched job titles are:
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What cities in Texas are hiring for Statistical Analysis Intern jobs? Cities in Texas with the most Statistical Analysis Intern job openings:
Statistical Analysis Intern jobs near you
Infographic showing various Statistical Analysis Intern job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $67,959 per year, or $32.7 per hour.

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Re-posted 11 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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