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Data Modeling Internship Jobs in Milwaukee, WI (NOW HIRING)

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Data Modeling Internship information

See Milwaukee, WI salary details

$11

$22

$41

How much do data modeling internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data modeling internship in Milwaukee, WI is $22.17, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.13 per hour, depending on experience, location, and employer.

What is a data modeling internship?

A Data Modeling Internship is a temporary position for students or recent graduates to gain practical experience in designing and structuring data for use in databases and information systems. Interns typically work with data architects and analysts to create data models, which help organize and manage data efficiently for businesses. This role often involves learning about different data modeling techniques, using specialized software tools, and supporting projects that improve data quality and accessibility. The internship provides valuable exposure to real-world data challenges and prepares individuals for future roles in data management and analytics.

What is the difference between Data Modeling Internship vs Data Analyst Internship?

AspectData Modeling InternshipData Analyst Internship
Required SkillsData modeling, database design, SQL, data warehousingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, database environmentsBusiness units, analytics teams, reporting environments
Industry UsageTech, finance, healthcare, where data structure design is keyMarketing, finance, retail, focusing on data insights

While both internships involve working with data, a Data Modeling Internship focuses on designing and structuring data systems, whereas a Data Analyst Internship emphasizes analyzing data to generate insights. The choice depends on whether you prefer working on database architecture or data interpretation.

What are the key skills and qualifications needed to thrive as a data modeling intern, and why are they important?

To thrive as a Data Modeling Intern, you need a solid understanding of database concepts, data structures, and proficiency in SQL, often supported by coursework in computer science or data analytics. Familiarity with data modeling tools like ERwin, Microsoft Visio, or Lucidchart, and experience with relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and translate business requirements into data models. These skills are essential for creating accurate, scalable data models that support efficient data storage, retrieval, and analysis in organizational projects.

What types of projects and responsibilities can I expect during a data modeling internship?

As a Data Modeling Intern, you can expect to work closely with data engineers and analysts to design, build, and refine data models that support business intelligence and analytics initiatives. Typical responsibilities include gathering requirements, creating entity-relationship diagrams, normalizing databases, and assisting in the documentation of data flows. You'll also have opportunities to participate in meetings with cross-functional teams, learn best practices for database design, and contribute to ongoing data quality improvement efforts. This hands-on experience provides valuable exposure to real-world data challenges and helps build a strong foundation for a career in data management.
What cities near Milwaukee, WI are hiring for Data Modeling Internship jobs? Cities near Milwaukee, WI with the most Data Modeling Internship job openings:
Data Modeling Internship jobs near you
Infographic showing various Data Modeling Internship job openings in Milwaukee, WI as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $46,118 per year, or $22.2 per hour.

Business Intelligence & No-Code Systems Intern

Schunk Carbon Technology

Menomonee Falls, WI

$15.75 - $19.75/hr

Full-time

Re-posted 11 days ago

Job description

Position Summary

The Business Intelligence & No‑Code Systems Intern will design, build, and maintain a relational business intelligence database using existing internal platforms, including no‑code or low‑code database tools that combine structured data, logic, and integrations within a collaborative workspace.

This role is intended for a Computer Science major or equivalent software‑capable student with strong data modeling and systems‑thinking skills. The intern will be responsible for creating a scalable, relational data framework that connects customers, industries, applications, equipment, internal product classifications, and competitive presence into a single, easy‑to‑use system for the sales organization.

The internship will begin with foundational data modeling and framework development. Upon successful implementation and initial data population, the role will expand to more advanced challenges such as integrating data from existing systems (e.g., CRM), supporting customer mapping efforts, and automating or parsing structured reports to reduce the time and effort required by the sales team to contribute and maintain data.

This internship is expected to run through the summer, with the potential for extension based on performance, progress, and business needs.

Essential Job Functions (Job‑Specific Knowledge / Skills)

Data Framework Development

  • Design and implement a relational data model using linked tables to associate:
    • Customers
    • Industries and market segments
    • Applications and use cases
    • Equipment types and OEMs
    • Internal product grades and classifications
    • Competitive presence at customer locations
  • Create intuitive data entry workflows, views, and forms to enable efficient use by sales and commercial team members.
  • Ensure data consistency, traceability, and usability across all related datasets.

Automation, Integration & Enhancement

  • Develop basic automations, logic, and workflows to streamline data entry and maintenance.
  • Identify opportunities to import, sync, or structure data from existing internal sources such as CRM exports or recurring reports.
  • Support interaction between the database and customer mapping or market visualization tools, where applicable.
  • Continuously improve system usability based on feedback from sales leadership and end users.

General Responsibilities

  • Document database structure, assumptions, and usage guidelines.
  • Collaborate with sales leadership to prioritize enhancements with clear business value.
  • Maintain long‑term data integrity, logical structure, and scalability of the system.

Qualifications (Expertise in Discipline)

  • Pursuing a degree in Computer Science, Software Engineering, Data Science, Information Systems, or equivalent practical experience.
  • Solid understanding of relational data concepts (tables, keys, relationships).
  • Comfort working with no‑code or low‑code platforms, spreadsheets, or similar data tools; prior exposure to tools such as Airtable, Notion, or similar platforms is a plus but not required.
  • Ability to translate business concepts into structured data models.
  • Strong analytical skills with attention to detail and data accuracy.
  • Clear written and verbal communication skills, especially when explaining technical concepts to non‑technical users.

Core Competencies

  • Problem‑Solving Ability: Translates ambiguous business questions into structured, data‑driven solutions.
  • Action Orientation: Takes initiative to prototype, test, and improve systems.
  • Customer Focus (Internal): Designs tools that minimize effort and maximize usability for the sales team.
  • Continuous Improvement: Iteratively enhances systems as requirements evolve.
  • Ownership & Accountability: Treats the database as a production business system, not an academic exercise.

Work Environment

  • Office‑based and/or hybrid, primarily supporting internal stakeholders.
  • Standard office environment with prolonged computer use.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Internship Duration

This internship is intended to run through the summer, with the possibility of extension based on performance, demonstrated value, and business needs.