Okay, I've searched for junior data analyst internships in Calabasas, CA focusing on marketing analytics, requiring Python or SQL skills, available for summer 2025, and offering hybrid work arrangements. I found 27 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Junior Analyst Intern role at PlanetArt is fundamentally designed to support the Data Analytics team by addressing a significant backlog of data requests and enhancing marketing campaign analysis. The core purpose revolves around extracting, cleaning, and interpreting data to uncover actionable insights that improve campaign effectiveness, particularly focusing on conversion rates and customer engagement. This role requires not only technical proficiency, primarily in SQL and Python, but also a sharp analytical mindset to turn raw data into clear, impactful business recommendations. The final deliverable—setting up interactive Tableau dashboards—signals a need for both technical skills and an understanding of end-user needs, highlighting the importance of translating complex data into user-friendly insights. Interns will need initiative, attention to detail, and excellent communication skills to effectively bridge data findings with strategic marketing decisions while working collaboratively in a fast-paced environment likely characterized by competing priorities and tight deadlines. Success in this role means efficiently clearing the existing backlog, providing timely and accurate analysis, and empowering stakeholders through enhanced data accessibility within the first 3 months of the internship.

Company Analysis:

Lensa operates at the intersection of technology and talent acquisition, leveraging machine learning to revolutionize how people find jobs and companies find talent. This positions Lensa—and by extension its client PlanetArt—as innovation-driven, data-centric organizations that prioritize smart technology and user-first experiences. The company culture is likely fast-paced and collaborative, focused on continuous improvement and applying advanced analytics to real-world problems. Given the company's robust tech and data science team, a Junior Analyst Intern will find themselves in a learning-rich environment with exposure to cutting-edge tools and methodologies, but also expected to contribute meaningfully even as a temporary team member. Being located in Calabasas with hybrid work flexibility indicates a modern workplace balancing structure and autonomy. The role fits into a broader strategic goal of scaling PlanetArt’s marketing analytics capabilities to optimize campaign ROI and operational efficiency. For a candidate, thriving here means embracing a growth mindset, valuing data-driven decision-making, and adapting quickly to evolving priorities within a mission-oriented, tech-focused company landscape.

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

• Behavioral: Tell me about a time when you had to analyze a complex dataset to provide recommendations. How did you ensure your findings were accurate and actionable?
• Behavioral: Describe a situation where you had to manage multiple competing priorities with tight deadlines. How did you organize your time and communicate with stakeholders?
• Behavioral: Have you ever worked in a team where you had to learn new tools or technologies quickly? How did you approach the learning curve and contribute to the team’s goals?
• Behavioral: Explain a time when you identified an error or inconsistency in data. What steps did you take to correct it, and how did you communicate the issue?
• Technical: How would you approach cleaning and preparing marketing campaign data for analysis? What are the key considerations when working with such datasets?
• Technical: Describe your experience with SQL and Python. Can you provide examples of specific projects where you used these tools for data extraction or analysis?
• Technical: How would you design a Tableau dashboard to track marketing campaign performance? What metrics and visualizations would you prioritize, and why?
• Technical: What techniques do you use to validate the insights you generate from data analysis to ensure they are reliable for decision-making?
• Situational: Imagine you receive conflicting data reports from different sources regarding the same campaign. How would you handle this situation to provide a clear recommendation?
• Situational: You are asked to speed up the completion of a backlog of analytics requests, but some require skills you are still developing. How do you prioritize and manage these tasks?
• Situational: Consider the final project—setting up Tableau reports for business users. What challenges might you anticipate in communicating with non-technical stakeholders, and how would you overcome them?
• Company Fit: What interests you about working with PlanetArt and its marketing analytics team through this internship?
• Company Fit: How do your values or previous experiences align with Lensa’s mission to use data and machine learning to transform job search?
• Company Fit: The role requires collaboration across teams and strong communication. How do you approach teamwork and feedback in a professional environment?
• Questions for Interviewer: How does the analytics team prioritize the marketing requests and backlog—what tools or frameworks do you use to manage workload?
• Questions for Interviewer: Can you describe the mentorship or learning opportunities available to interns within the Data Analytics department?
• Questions for Interviewer: How does PlanetArt evaluate the impact of data-driven recommendations on marketing performance? What successes has the analytics team celebrated recently?