Okay, I've searched for senior data analyst roles in Henderson, NV, within digital media and performance marketing, requiring 5+ years of experience, strong SQL and business intelligence skills, and full-time schedule. I have found 74 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Sr Data Solutions Analyst role at Launch Potato is fundamentally designed to transform complex digital marketing and business data into clear, actionable insights that directly influence revenue growth and operational efficiency. This individual is hired to bridge the gap between raw data and strategic decision-making by standardizing metrics, ensuring data integrity, and enabling cross-team alignment, particularly between finance, product, and media functions. The emphasis on advanced SQL and Looker skills signals a need for deep technical proficiency in querying, visualization, and dashboard creation, but these are paired equally with strong business acumen and communication capabilities. This reflects that the candidate must not only manage data but also contextualize it in a way that drives business outcomes. The initial 60 to 180-day deliverables around cleaning dashboards, resolving inconsistencies, aligning financial and operational data, and enhancing self-service analytics imply a role that demands detail orientation, problem-solving autonomy, and proactive stakeholder management. Success here means becoming the trusted analytics partner who can simplify complexity for diverse teams, maintain high data quality, and enable scalable insights that fuel Launch Potato’s digital marketing ecosystem. The candidate will face challenges like reconciling disparate data sources, managing cross-functional dependencies, and balancing routine operational tasks with strategic ad hoc analysis, requiring resilience and an entrepreneurial mindset.

Company Analysis:

Launch Potato positions itself uniquely as The Discovery and Conversion Company, straddling the vibrant intersection of digital media, technology, and performance marketing. Its market stance appears to be that of an innovative connector—leveraging a portfolio of brands and technologies to facilitate consumer journeys from initial awareness through to purchase—indicating a growth-oriented, performance-driven business model. This dynamic likely fosters a culture that values agility, high-impact results, and entrepreneurial spirit, amplified by the company’s emphasis on diversity and cross-cultural collaboration within an international team. For a Sr Data Solutions Analyst, this means working in a fast-paced environment where the ability to communicate across departments and influence decision-making is as critical as technical expertise. The company’s approach to compensation and performance-based growth further underscores a meritocratic culture where proactive ownership and demonstrable impact will be rewarded. Given the role’s close interaction with product, media, and finance teams, the analyst will hold significant visibility and influence in shaping data-driven strategies, helping Launch Potato remain competitive and sharply tuned to market demands across digital advertising and consumer engagement.

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

• Behavioral: Tell me about a time when you identified a critical discrepancy in data reporting. How did you approach resolving it and communicating the impact?
• Behavioral: Describe a situation where you had to translate complex technical data to a non-technical stakeholder. What strategies did you use to ensure understanding?
• Behavioral: Can you share an example of collaborating across multiple departments to create a unified data definition or reporting standard?
• Behavioral: Discuss a time when you proactively surfaced a blocker or gap before it escalated into a larger problem. What was the outcome?
• Technical: How do you approach designing a Looker dashboard that balances the needs of both technical users and business stakeholders?
• Technical: Walk me through your process for cleaning and standardizing data from multiple sources to ensure consistency in reporting.
• Technical: How would you validate alignment between financial data and operational metrics when working with FP&A and product teams?
• Technical: What advanced SQL techniques or functions have you used to optimize complex queries for business intelligence purposes?
• Situational: Imagine you discover conflicting metrics on a high-visibility dashboard. How would you prioritize and address this issue given tight deadlines?
• Situational: If a key stakeholder requests a last-minute ad hoc analysis that conflicts with your current workload, how would you manage expectations and deliverables?
• Situational: Suppose you’re tasked with enabling more scalable self-service analytics but encounter resistance from team members wary of change. How would you handle this?
• Company Fit: What interests you most about Launch Potato’s positioning as The Discovery and Conversion Company, and how do you see your skills contributing to this mission?
• Company Fit: How do you align with Launch Potato’s emphasis on diversity, inclusivity, and entrepreneurial culture in your work approach?
• Company Fit: Considering Launch Potato’s focus on performance-driven growth, how do you sustain motivation and deliver impact in a dynamic, results-oriented environment?
• Questions to Ask: How does Launch Potato envision the role of data solutions evolving as the company scales its digital properties?
• Questions to Ask: Can you share examples of cross-functional projects where the Sr Data Solutions Analyst had significant influence or leadership?
• Questions to Ask: What professional development opportunities or resources does Launch Potato provide to help data analysts grow their skills and impact?