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Data Analytics Graduate 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 ... Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science ...

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 ... Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science ...

Munich Re

Intern - Business Data Analytics

Austin, TX · On-site

This role is intended for a graduate-level intern , not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved * Intern will work on production-adjacent ...

Munich Re

Intern - Business Data Analytics

Dallas, TX · On-site

This role is intended for a graduate-level intern , not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved * Intern will work on production-adjacent ...

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All JobsData Analytics Graduate JobsData Analytics Graduate Jobs in Texas

Data Analytics Graduate information

See Texas salary details

$22

$51

$88

How much do data analytics graduate jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data analytics graduate in Texas is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 per hour, depending on experience, location, and employer.

What jobs can I get with a degree in data analytics?

A degree in data analytics can lead to roles such as data analyst, business intelligence analyst, data scientist, or data engineer. These positions involve analyzing data sets, creating reports, and using tools like SQL, Python, or Tableau to support decision-making across various industries.

What are the key skills and qualifications needed to thrive in the Data Analytics Graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

What does a graduate data analyst do?

A graduate data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software, and often work under supervision to develop their skills and understanding of data trends and patterns.

Is 40 too late for data science?

The Data Analytics Graduate role typically requires strong analytical skills and familiarity with tools like SQL, Python, or R. Age is not a barrier; many professionals transition into data science later in their careers by gaining relevant skills and certifications. Success depends on your ability to learn and adapt, regardless of age.

What jobs can I do with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business intelligence analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for success in these jobs.

What are typical career paths or growth opportunities for a Data Analytics Graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What is a Data Analytics Graduate job?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are the most commonly searched types of Data Analytics Graduate jobs in Texas? The most popular types of Data Analytics Graduate jobs in Texas are:
What are popular job titles related to Data Analytics Graduate jobs in Texas? For Data Analytics Graduate jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Analytics Graduate jobs in Texas look for? The top searched job categories for Data Analytics Graduate jobs in Texas are:
What cities in Texas are hiring for Data Analytics Graduate jobs? Cities in Texas with the most Data Analytics Graduate job openings:
Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate job openings in Texas as of June 2026, with employment types broken down into 19% Internship, 58% Full Time, 17% Part Time, and 6% Temporary. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $106,090 per year, or $51 per hour.

Data Analytics Intern

Trinity Logistics Group

Dallas, TX

Other

Posted 12 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