Intern - Data & Analytics

Lensa • Internship • Costa Mesa, CA, US • 2d ago

Lensa is the leading career site for job seekers at every stage of their career. Our client, Hyundai AutoEver America, is seeking professionals in Costa Mesa, CA. Apply via Lensa today!

Data & Analytics Intern

Hyundai AutoEver America's HQ (Fountain Valley or Costa Mesa, depending on business unit) will be running a 12-week internship program from 06/24/2025 to 09/12/2025. Interns will be expected to work anywhere between 20 - 24 hours a week, not to exceed 30 hours a week.

Purpose

We are seeking a highly motivated and detail-oriented Data & Analytics Intern to join our team. This role offers an exciting opportunity to gain hands-on experience working within a collaborative, fast-paced environment where data is central to decision-making and business growth.

The ideal candidate will support our data initiatives, contribute to analytics-driven insights, and work cross-functionally with engineering, product, and business unit teams. This internship will provide real-world exposure to enterprise data systems, cloud-based platforms, and agile project execution.

Essential Functions

Assist in designing querying, and managing large datasets for business reporting and decision support
Support the development of dashboards, visualizations, and data models to identify trends and performance metrics
Draft and participate in sprint planning, user story enhancement scoping, and user requirements definition
Collaborate with data engineers and analysts to clean, transform, and enrich datasets
Create documentation for data pipelines, systems, and governance policies
Work in tools such as Jira to track tasks, bugs, and development priorities
Support adhoc analysis and special projects across teams

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Basic Qualifications

Currently pursuing a degree in Data Science, Computer Science, Information Systems, Statistics, or a related field
Strong understanding of SQL (advanced queries, CTEs, window functions, performance tuning)
Familiarity with agile development methodologies and working in Jira or similar tools
Knowledge of at least one cloud platform, with preference for AWS full stack (Redshift, Lambda, S3, Glue, etc.)
Exposure to relational databases (e.g., Oracle) and NoSQL Systems (e.g., MongoDB)
Strong problem-solving, communication, and collaboration skills
Detail-oriented with the ability to work independently and manage multiple priorities

Preferred Skills