Okay, I've searched for Lead Data Analyst roles in Jersey City, NJ within the digital marketing and performance marketing industries, requiring 5+ years of experience, and full-time job mode. I have found 73 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Lead Data Analyst, Marketing role at Launch Potato is fundamentally about transforming complex marketing and operational data into clear, actionable business intelligence that directly drives revenue and margin growth. The key responsibilities extend beyond traditional data reporting; they emphasize not only the technical ability to manage, standardize, and improve data dashboards (primarily using SQL and Looker) but also the capacity to communicate insights effectively to diverse stakeholders, including finance, product, and media teams. This cross-functional coordination highlights the importance of collaboration and business acumen, as the analyst will need to align financial and marketing data streams and identify critical discrepancies that impact strategic decision-making. Candidates will face challenges such as ensuring data integrity in a high-paced digital media environment, dissecting non-standardized metrics, and enabling scalable self-service analytics for broader teams. Success in this role hinges on delivering timely, high-impact analyses that go beyond surface-level data, directly influencing product strategies and financial outcomes. Furthermore, the role demands a combination of technical mastery, strategic thinking, and proactive ownership to not only meet immediate dashboard and reporting expectations but to evolve the company’s analytical capabilities in ways that foster sustained competitive advantage.

Company Analysis:

Launch Potato operates as a digitally savvy media company positioned at the intersection of discovery and conversion, servicing the entire consumer journey from awareness through purchase. This strategic positioning as both brand and technology company makes it a dynamic player in performance marketing with an entrepreneurial and diverse workforce distributed globally. The culture appears to value high performance, curiosity, inclusion, and cross-functional collaboration—qualities essential for thriving in an environment where speed, innovation, and data-driven decision making are paramount. The company’s emphasis on data integrity, aligned financial and operational metrics, and scalable analytics infrastructure speaks to a mission-oriented culture that expects employees to step up as proactive problem-solvers and strategic partners. The Lead Data Analyst role benefits from visibility across finance, product, and media teams, suggesting an opportunity for influence beyond individual contribution. Given the company's performance-driven compensation model, employees are likely incentivized to deliver measurable impact, driving personal and organizational growth in a competitive, fast-evolving marketplace.

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

• Behavioral: Tell me about a time when you identified a significant data discrepancy that impacted business decisions. How did you approach resolving it?
• Behavioral: Describe a situation where you had to communicate a complex data insight to a non-technical stakeholder. What was your approach and the outcome?
• Behavioral: Give an example of when you had to collaborate closely with multiple teams to align data definitions or reporting standards. What challenges did you face and how did you overcome them?
• Behavioral: Share an experience where you took ownership of a project or problem in analytics that was outside your usual scope. How did you manage it?
• Technical: How do you ensure data integrity when working with multiple sources and stakeholders in a marketing analytics environment?
• Technical: Walk me through your process for designing or improving a Looker dashboard intended for self-service by diverse teams.
• Technical: What strategies do you use to write efficient and scalable SQL queries that support high-frequency reporting?
• Technical: How have you previously aligned financial data with marketing operational data to provide cohesive business intelligence?
• Situational: Imagine you discover that two key dashboards used by product and finance have conflicting data metrics. How would you approach diagnosing and resolving this issue?
• Situational: Suppose you are tasked with delivering an ad hoc analysis that must influence an upcoming strategic marketing investment. How would you balance thoroughness and speed?
• Situational: If a critical stakeholder is resistant to adopting a new standardized reporting framework you developed, how would you address their concerns while maintaining data consistency?
• Company Fit: What about Launch Potato’s position as 'The Discovery and Conversion Company' excites you, and how do you see your role contributing to that mission?
• Company Fit: Launch Potato emphasizes a diverse and inclusive culture alongside high performance. How do these values align with your personal working style?
• Company Fit: How do you stay motivated and deliver impactful analyses in a fast-paced, entrepreneurial environment like Launch Potato’s?
• Questions for Interviewer: Can you describe how the analytics team currently collaborates with product and finance during strategic planning cycles?
• Questions for Interviewer: What are the biggest data challenges Launch Potato anticipates in the next 12 months as it scales its digital media operations?
• Questions for Interviewer: How does Launch Potato invest in the professional development and growth of its analytics leaders?