Data & Analytics Intern
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 work with Trace3’s Data & Analytics Team to determine and implement approaches to data ingestion, structure, storage, and quality, and will partner with Engineering Team members on solutions that make customer data more valuable. The internship provides exposure to modern business data challenges, data problem-solving, extracting patterns from large datasets, and building and testing pipelines for structured and unstructured data used in analytics and AI. The intern will also learn how data quality, metadata, and governance support reliable applications, and how AI-assisted development tools can support SQL, Python, testing, and documentation while protecting customer data and validating outputs.
Requirements
- Enrollment in the junior or senior year of an undergraduate program or in a master’s program at an accredited college or university.
- Pursuing a field of study applicable to the Data & Analytics internship.
- Cumulative GPA of 3.0 or better.
- Ability to work independently on assigned tasks and accept direction on assignments.
- Self-motivation, a customer mindset, and a desire to help people.
- Enthusiasm for technical problem solving, attention to detail, and strong communication skills.
- Ability to learn and research in a dynamic and engaging environment.
- Availability to work 40 hours per week throughout the internship.
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 and customer insights.
- Work with the Data & Analytics Team to determine approaches to data ingestion, structure, storage, and quality, and help implement and validate solutions.
- Contribute ideas for making customer data more valuable and work with Engineering Team members to implement solutions.
- Build and test data pipelines that prepare structured and unstructured data for analytics and AI use cases.
- Use AI-assisted development tools to support SQL, Python, testing, and documentation while validating outputs and protecting customer data.
Benefits
- Comprehensive medical, dental, and vision plans for employees and dependents.
- 401(k) retirement plan with employer match.
- 529 College Savings Plan.
- Health Savings Account.
- Life insurance.
- Long-term disability.
- Competitive compensation.
- Training and development programs.
- Major offices stocked with snacks and beverages.
- Collaborative and cool culture.
- Work-life balance and generous paid time off.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
