Okay, I've searched for Data & Analytics internship roles in Costa Mesa, CA, for students in Data Science or Computer Science programs, requiring SQL skills, and offering part-time summer 2025 positions. I have found several relevant internship openings for you.

Sure. Here's the analysis:

Job Analysis:

The Data & Analytics Intern role at Hyundai AutoEver America, facilitated through Lensa, is fundamentally designed to immerse a candidate in the practical world of enterprise data management and analytics within a dynamic, collaborative setting. This internship seeks a motivated individual able to contribute to the end-to-end lifecycle of data— from querying and managing large datasets to assisting with dashboard development and sprint planning alongside technical and business stakeholders. The role demands a solid foundational knowledge of SQL and familiarity with cloud platforms, chiefly AWS, underscoring the company's reliance on scalable and modern data infrastructures. Beyond technical skills, the candidate must navigate cross-functional teamwork involving engineers, analysts, and product managers, requiring strong communication and problem-solving aptitude. Success here means effectively supporting the transformation of complex data into actionable insights that drive business decisions, while demonstrating agility in a fast-paced environment with evolving priorities. The role also implicitly tests one’s ability to manage workload independently and maintain attention to detail amidst multiple concurrent tasks, positioning the intern as a crucial contributor to the team’s productivity and innovation within a 12-week horizon.

Company Analysis:

Lensa operates at the intersection of technology and talent acquisition, specializing in machine learning-driven job matching that enhances both candidate experience and employer efficiency. As a recognized leader with over 10 million job seeker registrations by 2019, it holds a strong market presence as an innovator in career technology. The company culture likely emphasizes innovation, agility, and people-centric technology solutions, valuing data-driven decision making as evidenced by its technical R&D workforce. For an intern, this means working in an environment that prizes both cutting-edge technical skills and the human impact of their work. While primarily a technology-driven organization, Lensa's commitment to reducing friction in the job search suggests a mission-oriented culture focused on meaningful outcomes and continuous improvement. The Data & Analytics Intern will operate in a nexus between data engineering, product, and business teams, gaining both visibility and a multi-disciplinary viewpoint critical in a fast-growing tech company. Strategically, this role supports Lensa’s ongoing growth and refinement of its platform’s data backbone, critical for sustaining its market leadership and advancing its technological edge in talent acquisition solutions.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to manage multiple priorities simultaneously. How did you ensure accuracy and meet deadlines?
• Behavioral: Describe a situation where you worked within a cross-functional team to solve a data-related problem. What role did you play and what was the outcome?
• Behavioral: Share an example of when you identified a potential data quality issue or error. How did you address it?
• Behavioral: Can you tell me about a time you had to learn a new tool or technology quickly to complete a project?
• Technical: How would you construct a SQL query involving window functions to analyze performance trends over time?
• Technical: Explain your experience working with AWS data services such as Redshift, Lambda, S3, or Glue. How have you applied these or similar cloud technologies in past projects?
• Technical: When developing a dashboard or data visualization, what key metrics or principles do you prioritize to ensure clarity and impact?
• Technical: How do you approach transforming and cleaning data from both relational and NoSQL sources to prepare it for analysis?
• Situational: Imagine a product manager requests a dashboard with unclear requirements and a tight deadline. How would you proceed to deliver a useful product on time?
• Situational: If you encounter contradictory data between two key reports that impact a business decision, how would you investigate and resolve this conflict?
• Situational: Suppose you identify a bottleneck in the data pipeline causing delays in report delivery. What steps would you take to diagnose and recommend solutions?
• Company Fit: What interests you most about Lensa's mission to improve the job search experience using data and machine learning?
• Company Fit: How do your personal values and career goals align with the fast-paced, innovation-driven culture described at Lensa and Hyundai AutoEver America?
• Company Fit: Given Lensa’s technology-driven approach and global presence, how would you leverage this internship to contribute to and grow within such an environment?
• Questions for Interviewer: Can you describe how the Data & Analytics team collaborates with product and engineering teams on a typical project?
• Questions for Interviewer: What are the biggest challenges the data team currently faces, and how might an intern contribute to addressing them?
• Questions for Interviewer: How is success measured for interns during this program, and what mentorship or development opportunities are provided?