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Data Analytics Internships Jobs (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 ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students who are looking to get a critical jump start on a career in Data Analytics, working side by side with ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

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Data Analytics Internships information

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How much do data analytics internships jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for data analytics internships in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What types of projects do Data Analytics Interns typically work on, and how do these projects contribute to real business outcomes?

Data Analytics Interns often work on projects such as cleaning and organizing large datasets, building dashboards to visualize key metrics, and assisting with statistical analyses to uncover trends or patterns. These projects directly support business decision-making by providing actionable insights, improving existing processes, or identifying new opportunities for growth. Interns typically collaborate closely with data analysts, engineers, and business stakeholders, gaining exposure to real-world problems and the impact of their work, which is a valuable learning experience.

What are Data Analytics Internships?

Data Analytics Internships are temporary positions, usually for students or recent graduates, that provide hands-on experience working with data to uncover insights and support business decisions. Interns typically learn to collect, process, and analyze data using tools such as Excel, SQL, Python, or specialized analytics software. These internships help individuals gain practical skills in data analysis, visualization, and reporting while working on real-world projects under the guidance of experienced professionals. Completing a data analytics internship can help build a strong foundation for a career in data science or analytics.

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 foundation in statistics, data analysis, and proficiency with tools like Excel, often supported by coursework in mathematics, computer science, or related fields. Familiarity with programming languages such as Python or R, and experience with data visualization tools like Tableau or Power BI, are typically required. Strong problem-solving skills, attention to detail, and effective communication set outstanding candidates apart. These abilities are crucial for extracting actionable insights from data and presenting findings clearly to support decision-making in a professional setting.

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

AspectData Analytics InternshipsData Analyst
Required CredentialsTypically pursuing or recent graduates with coursework in data analysis, statistics, or related fieldsBachelor's or master's degree in data science, statistics, or related fields; some roles prefer certifications
Work EnvironmentInternship programs within companies, often part-time or temporaryFull-time roles in various industries, including tech, finance, healthcare
Employer & Industry UsageUsed by companies to train and evaluate potential future employeesEstablished roles for ongoing data analysis and reporting

In summary, Data Analytics Internships are entry-level, temporary positions aimed at gaining experience, while Data Analysts are full-time professionals responsible for ongoing data analysis tasks. Internships often serve as a stepping stone toward a full Data Analyst role.

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What job categories do people searching Data Analytics Internships jobs look for? The top searched job categories for Data Analytics Internships jobs are:
Data Analytics Internships jobs near you
Data Analytics Intern

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Posted 3 days ago

Trinity Industries rating

6.5

Company rating: 6.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

349th of 421 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.

What Trinity Industries employees say

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