Okay, I've searched for Product Quality Data Analyst roles in Los Angeles, CA, full-time positions, requiring 3+ years of experience, with skills in Tableau and Excel, and including 401(k) benefits. I have found 76 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Product Quality Data Analyst role at Sony Honda Mobility of America sits at a critical intersection of data analytics, product quality oversight, and cross-functional collaboration in the rapidly evolving electric vehicle (EV) market. Fundamentally, this position exists to transform complex, multi-source after-sales data—ranging from warranty claims and telematics to social media sentiment—into clear insights that drive continuous product improvement and elevated customer satisfaction. The role requires not just technical prowess in data management and visualization tools like Tableau, Excel, Python, and SQL, but also a deep understanding of automotive quality ecosystems, including warranty systems and post-sales diagnostics. This synergy is crucial to identify emerging issues proactively and ensure corrective actions are timely, thereby reducing costs and protecting brand reputation. Success here means delivering accurate, actionable reports and dashboards that inform strategic decisions and representing quality insights effectively in cross-functional meetings. The analyst must also navigate ambiguity, often dealing with incomplete or disparate data sets, coordinating across IT, quality, and customer-facing teams, and balancing short-term troubleshooting with long-term systemic improvements. The ability to automate and streamline workflows highlights the role’s operational efficiency goals. Within the first 6-12 months, success would look like establishing reliable quality data pipelines, creating impactful dashboards that influence product adjustments, and becoming a trusted voice in cross-departmental quality initiatives.

Company Analysis:

Sony Honda Mobility of America is a young, innovative player at the confluence of automotive and technology industries, born from the union of two global leaders: Sony and Honda. Positioned as a frontier EV manufacturer with the AFEELA vehicle, the company is pushing boundaries not just in product design but also in how mobility interacts seamlessly with users through advanced sensing and network technologies. This forward-thinking market entrant embodies innovation, diversity, and customer-centricity, all embedded in a culture likely to be agile, creative, and mission-driven—characteristics favoring rapid iteration and learning. For a candidate, this means working in a dynamic environment where experimentation and cross-disciplinary collaboration are encouraged, yet a high standard of technical precision and accountability is expected. The role will sit within the After-Sales Market Quality team, suggesting a specialized yet highly collaborative function that provides critical visibility to leadership and across departments. The company’s dual heritage and transpacific structure imply a global perspective but localized execution, requiring adaptability and cultural fluency. Strategically, this hire supports scaling the quality infrastructure as the AFEELA launch accelerates in the U.S. market—making this analyst’s insights pivotal to balancing rapid growth with uncompromised product integrity and customer trust.

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

• Behavioral: Tell me about a time when you identified an important quality trend from complex or disparate data sources. How did you communicate your findings to influence decision-making?
• Behavioral: Describe a situation where you had to coordinate with multiple teams (e.g., IT, customer service, engineering) to resolve a data-related or quality issue. How did you manage conflicting priorities?
• Behavioral: Can you share an example of how you automated a manual process or developed a tool that improved efficiency in your previous analytical role?
• Behavioral: Tell me about a challenge you faced working with warranty or post-sales data. How did you overcome data quality or integration issues?
• Technical: Walk me through your approach to designing a dashboard that integrates after-sales quality data from multiple systems like CRM, telematics, and warranty claims.
• Technical: How do you ensure data integrity and accuracy when pulling information from heterogeneous sources such as telematics logs, CRM cases, and OTA incident reports?
• Technical: What Python or SQL techniques have you used to analyze automotive quality or warranty databases? Can you provide an example of a complex query or analysis you performed?
• Technical: Explain your experience with social listening tools like Sprinklr. How would you leverage market sentiment data to inform product quality initiatives?
• Situational: Imagine you detect a sudden spike in warranty claims related to a specific vehicle feature, but telematics data and customer reports are inconclusive. How would you investigate and escalate this issue?
• Situational: You are asked to create an automated reporting system for quality KPIs that is understandable by both technical and non-technical stakeholders. How would you balance complexity and clarity in your solution?
• Situational: Suppose your dashboards reveal a recurring software defect affecting product quality, but the development team is slow to prioritize it. How would you advocate for urgent action?
• Company Fit: Why are you interested in joining Sony Honda Mobility of America, especially in the context of launching a brand-new EV like AFEELA?
• Company Fit: How do you think your personal values and work style align with a company that emphasizes innovation inspired by diversity and customer centricity?
• Company Fit: Given that this is a startup environment within a joint venture of two global giants, how would you navigate the balance between agility and established processes?
• Questions for Interviewer: How does the After-Sales Market Quality team currently collaborate with product development and engineering at SHMA?
• Questions for Interviewer: What are the biggest challenges you foresee in scaling product quality analytics as the AFEELA launch matures in the U.S. market?
• Questions for Interviewer: How does SHMA support ongoing learning and development for data analysts working at the intersection of automotive quality and advanced technology?