Data & Analytics Intern

Trace3•Irvine, CA

About The Position

The Data and Analytics Engineer Intern will assist in designing, building, and testing data platforms and analytics solutions, including preparing trusted data for AI-enabled applications, to generate actionable insights for customers. The intern will partner with the Data & Analytics Team to determine approaches to data ingestion, structure, storage, and quality, and help implement and validate those solutions. They will also contribute ideas to increase the value of customer data and work with Trace3’s Engineering Team to implement solutions. The internship offers experience with modern business data challenges, simplifying complex data problems, extracting patterns from large datasets, and building and testing data pipelines for analytics and AI use cases. Interns will learn how data quality, metadata, and governance support reliable applications, as well as how AI-assisted development tools can support SQL, Python, testing, and documentation while outputs are validated and customer data is protected. The role requires availability to work 40 hours per week throughout the internship.

Requirements

Be enrolled in the junior or senior year of an undergraduate program or in a master’s program at an accredited college or university.
Pursue a field of study applicable to the Data & Analytics internship.
Have a cumulative GPA of 3.0 or better; People and Organizational Health may require a copy of the applicant’s transcript.
Be available to work 40 hours per week throughout the internship.
Be able to work independently on assigned tasks and accept direction.
Demonstrate self-motivation, a customer mindset, and a desire to help people.
Show enthusiasm for technical problem solving, attention to detail, and strong communication skills.
Have the ability to learn and research in a dynamic and engaging environment.

Nice To Haves

Academic or professional/internship experience working in a professional setting.
Foundational knowledge of SQL or Python, data transformation, data modeling, or data visualization through coursework, personal projects, or prior experience.
Exposure to cloud data platforms, notebooks, Git-based version control, or APIs.
Interest in AI-enabled analytics and familiarity with data quality, metadata, privacy, and responsible use of AI tools; coursework or personal projects are welcome.

Responsibilities

Assist in designing, building, and testing data platforms and analytics solutions.
Help prepare trusted data for AI-enabled applications.
Work with the Data & Analytics Team to determine appropriate approaches to data ingestion, structure, storage, and quality, then help implement and validate solutions.
Contribute ideas for making customers’ data more valuable and work with the Engineering Team to implement solutions.
Build and test data pipelines that prepare structured and unstructured data for analytics and AI use cases.