Okay, I've searched for Lead Data Analyst roles in Phoenix, AZ, within digital media and marketing industries, requiring 5 years of experience, proficiency in SQL and Looker, and full-time schedules. I have found 57 positions available matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Lead Data Analyst, Marketing at Launch Potato plays a critical role in transforming complex digital marketing data into actionable business intelligence that directly impacts revenue growth and margin improvement. This role is not just about technical expertise in SQL and Looker but also demands a deep understanding of the digital media landscape and performance marketing dynamics. The candidate will need to confront challenges such as data inconsistencies, misaligned metrics across teams, and the creation of scalable reporting tools to foster self-service analytics. Working closely with finance, product, and media teams requires advanced cross-functional communication skills and business acumen to translate data insights into strategic recommendations. Success in this role hinges on analytical rigor, ownership of deliverables, and an ability to simplify complex narratives for diverse stakeholders. The first 6 months focus on cleaning and standardizing dashboards, resolving data discrepancies, and aligning financial with operational metrics — key initiatives foundational to trust and usability of the data infrastructure. Beyond maintenance, delivering monthly ad hoc analyses with meaningful financial impact will demonstrate the candidate's strategic value to the company.

Company Analysis:

Launch Potato occupies a dynamic niche as 'The Discovery and Conversion Company' within the digital media and marketing technology space, blending entrepreneurial energy with a global mindset. Positioned as a leader connecting advertisers to consumers across the full funnel, the company emphasizes innovation and results-driven performance in a rapidly evolving market. Its culture appears diverse, inclusive, and high-performing, favoring proactive problem solvers who work collaboratively across international, cross-functional teams. For the Lead Data Analyst role, this means thriving in an environment that values both individual ownership and collective partnership to scale the business. The company’s growth trajectory and performance-based compensation approach signal a meritocratic and fast-paced workplace where demonstrating impact quickly is crucial. Given the company's emphasis on discovery and conversion, this role directly supports their strategic goal of optimizing marketing effectiveness through data-driven insights, making it a pivotal hire to enable smarter, measurable decision-making.

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

• Behavioral: Tell me about a time when you identified and resolved a data discrepancy that had significant implications for business decisions.
• Behavioral: Describe a situation where you had to explain complex analytical findings to a non-technical stakeholder. How did you ensure understanding and buy-in?
• Behavioral: Give an example of a project where you led cross-functional collaboration to improve reporting or analytics capabilities. What challenges did you face and how did you overcome them?
• Behavioral: Share an experience that demonstrates your ability to own a project end-to-end and proactively manage blockers or gaps.
• Technical: How do you approach designing and standardizing dashboards to ensure consistency in metrics across stakeholders?
• Technical: Explain your process for validating data integrity within BI tools like Looker and reconciling financial and operational datasets.
• Technical: What strategies or SQL techniques do you use to optimize complex queries in a performance marketing data environment?
• Technical: Can you walk me through an example of an ad hoc strategic analysis you performed that led to actionable business recommendations?
• Situational: Imagine you discover conflicting definitions of a key marketing metric among different teams. How would you handle aligning everyone on a single source of truth?
• Situational: Suppose your executive team requests a last-minute analysis on campaign ROI, but the data is incomplete and inconsistent. How would you respond and deliver value?
• Situational: If you had to lead the redesign of core Looker dashboards to enable self-service analytics for non-technical users, what key considerations would guide your approach?
• Company Fit: What excites you most about working at Launch Potato and contributing to our mission as the Discovery and Conversion Company?
• Company Fit: How do your personal values and approach to teamwork align with Launch Potato’s emphasis on diversity, inclusion, and high performance?
• Company Fit: Considering our fast-paced and entrepreneurial culture, how do you prioritize and manage your work when faced with competing demands?
• Questions for Interviewer: How does the analytics team currently collaborate with product and finance groups to drive strategic decisions?
• Questions for Interviewer: What are the biggest data challenges Launch Potato faces today in marketing analytics, and how would this role help address them?
• Questions for Interviewer: Can you describe the company’s vision for scaling self-service analytics and the expected impact on broader teams?