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Part Time Data Analytics Intern Jobs (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 ...

Vendelux Inc

Part time Data Intern

New York, NY · On-site

The intern will handle various administrative, research, or data operations tasks for the marketing ... Use SQL and dashboarding tools to perform data analysis to identify insights about events ...

Goosehead

Revenue Operations Analytics Intern

Westlake, OH · On-site

$14 - $18.50/hr

The Revenue Operations Analytics Intern will gain hands-on experience supporting a high-impact ... What You'll Do Data Analysis & Reporting Assist in building and maintaining Tableau and Power BI ...

OCV LLC

Business Analytics Intern

Opelika, AL · On-site

We are currently recruiting for a Business Analytics Part-Time Intern to work on-site at our headquarters in Opelika, Alabama. This role is integral to analyzing app usage data, deriving insights to ...

Apply Early

Ivy Tech

Data Analyst Intern

Indianapolis, IN · Hybrid

$15/hr

Actively pursuing a college credential, preferably in Computer Science, Data Analytics, Software ... Ivy Tech is committed to supporting the well-being, growth, and financial security of our part-time ...

Child and Family Services

Data Intern

Cheektowaga, NY · On-site

Overview The Data Intern will work closely with the Data Analyst to support a variety of data-related projects and daily operations. This role is ideal for a college student seeking hands-on ...

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Part Time Data Analytics Intern information

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How much do part time data analytics intern jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for part time data analytics intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can a Part Time Data Analytics Intern expect to handle on a weekly basis?

As a Part Time Data Analytics Intern, you can expect to work on a variety of tasks such as data cleaning, preparing reports, and assisting with the development of dashboards. Interns often collaborate with analysts and project managers to support ongoing business initiatives, conduct basic statistical analysis, and visualize data insights. You may also be involved in team meetings to discuss project progress and learn from experienced professionals, helping you build both technical and communication skills relevant to a future analytics career.

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

To thrive as a Part Time Data Analytics Intern, you need a foundational understanding of statistics, data analysis, and proficiency in tools like Excel, Python, or R, often supported by coursework or relevant academic background. Familiarity with data visualization software such as Tableau or Power BI and basic knowledge of SQL are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and present insights clearly. These skills enable interns to contribute meaningful analysis, support business decisions, and learn quickly in a professional data-driven environment.

What does a Part Time Data Analytics Intern do?

A Part Time Data Analytics Intern assists with analyzing data to help organizations make informed decisions. Their tasks often include collecting, cleaning, and organizing data, creating reports or visualizations, and supporting senior analysts with research projects. This role allows interns to gain hands-on experience with data analytics tools and techniques while working a flexible schedule. It is ideal for students or individuals seeking practical exposure to the field of data analytics.

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

AspectPart Time Data Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often in a corporate or tech companyFull-time role, often in an office or remote
Employer & Industry UsageInternship programs in various industries like finance, tech, healthcareFull-time data analysis roles across industries
Search & Comparison IntentLooking for entry-level, part-time data analysis opportunitiesSeeking full-time data analysis careers

The main difference is that a Part Time Data Analytics Intern is an entry-level, temporary position often held by students or recent graduates, focusing on gaining experience. In contrast, a Data Analyst is a full-time professional role requiring more experience and responsibility, with a focus on analyzing data to inform business decisions.

What cities are hiring for Part Time Data Analytics Intern jobs? Cities with the most Part Time Data Analytics Intern job openings:
What are the most commonly searched types of Part Time Data Analytics jobs? The most popular types of Part Time Data Analytics jobs are:
What states have the most Part Time Data Analytics Intern jobs? States with the most job openings for Part Time Data Analytics Intern jobs include:
Part Time Data Analytics Intern jobs near you
Data Analytics Intern

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Posted 2 days ago

TrinityRail rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

119th of 146 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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