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

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field * Expected graduation date of May 2027 * Experience or ...

Hasbro

Data Analytics Manager

Renton, WA

Graduate degree is a plus. * 7+ years of relevant work experience, including at least 2 years of experience leading a team. * Experience using R, python, or similar tools to conduct data analysis.

Daimler

Data Analytics Engineer

Fort Worth, TX

$102K - $123K/yr

... 8k for graduate Job Overview: This position is responsible for interacting with key users to ... Responsibilities: 1. Data Analytics Solution Development - using various data anlytics tools, work ...

Hasbro

Data Analytics Manager

Renton, WA · On-site

$125K - $188K/yr

Graduate degree is a plus. * 7+ years of relevant work experience, including at least 2 years of experience leading a team. * Experience using R, python, or similar tools to conduct data analysis.

Troy University

Lecturer - Data Analytics

Troy, AL · On-site

The Lecturer will teach courses for the Carr School of Accountancy at both the graduate and undergraduate levels in topics related to data analytics. Courses may be taught online, hybrid ...

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Summer Data Analytics Graduate information

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$33K

$81.5K

$140K

How much do summer data analytics graduate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for summer data analytics graduate in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are Summer Data Analytics Graduates?

Summer Data Analytics Graduates are recent or soon-to-be graduates who participate in summer internship or training programs focused on data analytics. These roles typically involve working on data-driven projects, analyzing large datasets, and gaining hands-on experience with analytical tools and techniques. The purpose of these positions is to provide students or new graduates with practical exposure to real-world business challenges, often within a corporate or research environment. Participants develop skills in data analysis, visualization, and reporting, which can enhance their employability in the data science and analytics field.

What types of projects can a Summer Data Analytics Graduate expect to work on during their internship?

As a Summer Data Analytics Graduate, you can expect to work on a variety of projects involving data cleaning, analysis, and visualization. Typical assignments include assisting with the preparation of datasets, conducting exploratory data analysis, building dashboards, and supporting senior analysts with statistical modeling. You'll likely collaborate with cross-functional teams such as marketing, finance, or operations, contributing to real business cases and gaining exposure to industry-standard tools and methodologies. This hands-on experience is designed to help you develop both technical and communication skills valuable for a future career in analytics.

Is 30 too late for data science?

The Summer Data Analytics Graduate role is open to individuals of various ages, and age is not a barrier to entering data science. Many professionals transition into data science later in their careers by acquiring skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Age should not deter you from pursuing a career in data science if you have the interest and dedication to learn relevant skills.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the need for skilled analysts who bring domain expertise and critical thinking to data projects.

How to be a data analyst after graduation?

To become a data analyst after graduation, develop skills in data analysis tools such as Excel, SQL, and programming languages like Python or R. Gain experience through internships or projects, and consider earning certifications like Microsoft Data Analyst or Google Data Analytics to enhance your qualifications.

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

A degree in data analytics qualifies you for roles such as data analyst, business 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. Additional certifications in data management or programming can enhance job prospects.

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

To thrive as a Summer Data Analytics Graduate, you need a solid background in statistics, data analysis, and proficiency with spreadsheet and database tools, typically supported by ongoing or recent studies in a quantitative field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau, and knowledge of SQL are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you analyze data and present insights clearly to diverse audiences. These skills are crucial for delivering actionable findings and supporting data-driven decision-making in fast-paced project environments.
More about Summer Data Analytics Graduate jobs
What cities are hiring for Summer Data Analytics Graduate jobs? Cities with the most Summer Data Analytics Graduate job openings:
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Summer Data Analytics Graduate jobs near you
Infographic showing various Summer Data Analytics Graduate job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Data Analytics Intern

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Re-posted 12 days ago

Trinity Industries rating

6.5

Company rating: 6.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

355th of 430 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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