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Data 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 ...

Munich Re

Intern - Business Data Analytics

Dallas, TX · On-site

Business Data Analytics Intern * This role is intended for a graduate-level intern , not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved * Intern ...

Munich Re

Intern - Business Data Analytics

Austin, TX · On-site

Business Data Analytics Intern * This role is intended for a graduate-level intern , not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved * Intern ...

Praytell

Analytics Intern

Austin, TX · On-site +1

$20/hr

This hands-on role offers the opportunity to learn how data, research and insights power ... As an Analytics Intern, you will: * Support the collection, organization and analysis of data ...

Praytell

Analytics Intern

Austin, TX · On-site +1

$20/hr

This hands-on role offers the opportunity to learn how data, research and insights power ... As an Analytics Intern, you will: * Support the collection, organization and analysis of data ...

OmniSource

Data Analytics Internship

Dayton, TX

What sets this Data Analytics Internship apart is the opportunity to directly support business ... The intern will help design and automate interactive dashboards and data tools that provide real ...

Go! Retail Group

Financial Analytics Intern

Austin, TX · On-site

$17.50 - $23/hr

The successful candidate will have a strong desire to dive into current and historical data ... The full-time Financial Analytics Intern role supporting the Chairman of the Board combines ...

Go! Retail Group

Financial Analytics Intern

Austin, TX

$17.50 - $23/hr

The successful candidate will have a strong desire to dive into current and historical data ... The full-time Financial Analytics Intern role supporting the Chairman of the Board combines ...

Go! Retail Group

Financial Analytics Intern

Austin, TX

$17.50 - $23/hr

The successful candidate will have a strong desire to dive into current and historical data ... The full-time Financial Analytics Intern role supporting the Chairman of the Board combines ...

HTeaO

Finance Intern

Fort Worth, TX · On-site

$15/hr

Support ad hoc data requests from Finance, Operations, Marketing, and Franchise Development Monthly Financial Analysis & Business Insights * Assist with the monthly close and reporting cadence ...

Studio Movie Grill

Summer Intern - Summer 2026

Dallas, TX · On-site

$13.75 - $16.50/hr

As an Operations & Financial Analytics Intern, you'll gain hands-on experience understanding how raw data is translated into actionable insights that inform pricing, labor planning, and budgeting.

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All JobsData Analytics Intern JobsData Analytics Intern Jobs in Texas

Data Analytics Intern information

See Texas salary details

$11

$20

$39

How much do data analytics intern jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data analytics intern in Texas is $20.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.84 per hour, depending on experience, location, and employer.

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

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are the big 4 internships?

The Big 4 internships typically refer to summer internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience for aspiring professionals in fields such as data analytics, accounting, and finance.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

How to get a data analyst intern?

To become a data analyst intern, candidates should develop skills in data analysis tools like Excel, SQL, or Python, and build a strong understanding of statistics and data visualization. Gaining relevant experience through coursework, projects, or certifications can improve chances, and applying to internships through company career portals or job boards is essential. Strong communication skills and a willingness to learn are also important for securing an internship in this field.

What does a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and work under supervision to develop reports and visualizations that help organizations understand their data.

Is AI replacing data analysts?

AI tools are automating certain tasks in data analysis, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, making the profession unlikely to be fully replaced by AI in the near future.
What are the most commonly searched types of Data Analytics jobs in Texas? The most popular types of Data Analytics jobs in Texas are:
What are popular job titles related to Data Analytics Intern jobs in Texas? For Data Analytics Intern jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Analytics Intern jobs in Texas look for? The top searched job categories for Data Analytics Intern jobs in Texas are:
What cities in Texas are hiring for Data Analytics Intern jobs? Cities in Texas with the most Data Analytics Intern job openings:
Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Texas as of June 2026, with employment types broken down into 50% Internship, 22% Full Time, 22% Part Time, and 6% Temporary. Highlights an 83% In-person, 11% Hybrid, and 6% Remote job distribution, with an average salary of $43,610 per year, or $21 per hour.
Data Analytics Intern

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Posted 13 days ago

TrinityRail rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

115th of 142 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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