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Data Solutions Intern Jobs (NOW HIRING)

Orbia

Product Development Intern

Waltham, MA · On-site

$20/hr

... innovative solutions across multiple industries including building and infrastructure, data ... Product Development Intern - T&I LATAM (Summer 2026) Orbia Building & Infrastructure (Wavin) Remote ...

US Hunger

Fall 2026 Data Analytics Intern

Longwood, FL · On-site

Job Type Internship Description POSITION SUMMARY As a Data Analytics Intern, you will report to the Data and Research Writer and work closely with the Technology and Data Solutions Team. Your primary ...

Insight

Data Intern

Columbus, OH · On-site

... Data, Cloud, & AI space ... Join our Microsoft+ Solution Line and work alongside industry experts to help clients harness the ...

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How much do data solutions intern jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data solutions intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does a Data Solutions Intern do?

A Data Solutions Intern assists in analyzing, organizing, and interpreting data to support business decision-making. They work closely with data analysts and engineers to gather data, clean and process large datasets, and help develop data-driven solutions for various projects. Interns may also help create reports, dashboards, and visualizations to communicate insights to different teams. This role provides hands-on experience with data tools and technologies, preparing interns for careers in data science, analytics, and related fields.

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

AspectData Solutions InternData Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's degree in Data Science, Statistics, or related field; often requires some experience
Work EnvironmentInternship setting, often in tech or consulting companies, with mentorshipFull-time role in various industries, working with data analysis tools and reporting
Employer & Industry UsageUsed in tech, finance, consulting firms for entry-level support rolesCommon in finance, healthcare, marketing, and tech for data-driven decision making

The Data Solutions Intern role is an entry-level position focused on supporting data projects under supervision, often as part of an internship program. In contrast, a Data Analyst is a more experienced role involving independent data analysis, reporting, and insights generation. While both roles require knowledge of data tools and basic analytics, the intern position is typically temporary and educational, whereas the analyst role is a full-time position with greater responsibilities.

What types of projects can a Data Solutions Intern expect to work on, and how do these contribute to the overall goals of the team?

As a Data Solutions Intern, you can expect to work on projects such as data cleaning, developing dashboards, assisting with database management, and supporting data integration tasks. These projects are designed to help the team streamline data processes and provide actionable insights for decision-making. You'll likely collaborate closely with data analysts, engineers, and business stakeholders, gaining exposure to real-world data challenges and solutions. This hands-on experience not only builds your technical skills but also demonstrates the impact of well-managed data on organizational success.

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

To excel as a Data Solutions Intern, you need a foundational understanding of data analysis, statistics, and programming languages such as Python or SQL, usually supported by ongoing studies in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), databases, and cloud platforms (such as AWS or Azure) is often required. Problem-solving skills, attention to detail, and effective communication help interns collaborate with teams and translate data insights for various stakeholders. These skills are vital for efficiently supporting data-driven projects and contributing valuable insights to organizational decision-making.
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Data Solutions Intern jobs near you
Infographic showing various Data Solutions Intern job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 11% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Human Resources AI Technology Solutions Intern

Human Resources AI Technology Solutions Intern

IPG Photonics

Marlborough, MA • On-site

$15.50 - $20.75/hr

Other

Posted 9 days ago

IPG Photonics rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

96th of 419 rated machine equipment manufacturers

Job description

IPG Photonics is revolutionizing the laser industry as the pioneering developer and leading producer of fiber lasers and amplifiers. Headquartered in Marlborough, MA, IPG has over 4,800 employees in more than 25 locations around the world. We aspire to work together with our employees and customers to apply light in ways that improve life.
Our mission is to develop innovative laser solutions to make the world a better place. To accomplish this mission, we are committed to attracting and retaining the best talent and an engaged and thriving workforce that drives a sustainable future for our company and society.

We are seeking a curious, analytical, and techforward AI & HR Process Documentation Intern to support our Human Resources organization. This internship is focused on documenting, structuring, and enabling AIsupported key HR processes.

This role is ideal for a student interested in the intersection of AI, systems thinking, and people operations. You will help translate emerging AI use cases into clear, scalable documentation that supports responsible and effective adoption across HR.

Key Responsibilities

AI Process Documentation & Enablement

  • Document endtoend HR workflows where AI is currently used or piloted (e.g., recruiting, skills assessment, job architecture, learning content creation, compensation analysis).
  • Create clear, practical documentation including process maps, usecase briefs, prompt libraries, decision guides, and governance considerations.
  • Establish standards for documenting AI use cases in HR, including purpose, data inputs, limitations, risks, and human oversight requirements.

Talent Acquisition

  • Support documentation of AIenabled recruiting activities such as job description optimization, resume screening support, interview question generation, and market insights.
  • Partner with TA leaders to capture best practices, guardrails, and compliance considerations related to AI usage.

Talent Development

  • Document AI applications in learning design, skills development, career pathways, and workforce upskilling initiatives.
  • Assist in structuring AIsupported content generation workflows while reinforcing human validation and quality standards.

Intranet & Content Enablement

  • Create clear, accessible content for employees, drawing from existing HR policies and guidance.
  • Translate complex or fragmented information into simple, user-friendly documentation.
  • Help organize and structure intranet content for ease of navigation and discoverability.
  • compensation concepts into accessible AIsupported process guides for HR partners.

Research, Evaluation & Collaboration

  • Research emerging AI tools, trends, and governance practices relevant to HR.
  • Collaborate with HR, Legal, IT, and Data teams to ensure documentation aligns with ethical, legal, and security standards.
  • Prepare summaries and presentations to share findings, recommendations, and documented processes with the HR leadership team.

Qualifications

Required:

  • Currently pursuing a Bachelor's or Master's degree in Business Analytics, Information Systems, Psychology, Computer Science, Data Science, or a related field.
  • Strong interest in AI, process improvement, digital tool and user experience.
  • Ability to synthesize information from multiple sources and present it clearly to end users.
  • Exceptional written communication skills with the ability to translate complex concepts into clear documentation.
  • Strong attention to detail and structured thinking.

Preferred:

  • Familiarity with generative AI tools (e.g., copilots, LLMs, prompt design).
  • Exposure to HR functions such as recruiting, learning, and/or HR Operations.
  • Experience creating process documentation, SOPs, playbooks, or knowledgebase content.
  • Interest in AI ethics, governance, and responsible use.

What IPG Photonics employees say

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