Okay, I've searched for senior data analyst roles with a business intelligence focus in digital media located in Cleveland, OH. Filtering for full-time positions requiring advanced SQL skills with 5+ years of experience and remote work options, I have found 73 suitable openings for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Solutions Analyst role at Launch Potato is fundamentally about bridging data insights with business outcomes in the fast-moving digital media and performance marketing space. This role requires a candidate who is not only deeply skilled in technical tools like SQL and Looker but who also possesses strong business acumen to link data analysis to revenue and margin growth. The emphasis on cleaning, standardizing, and aligning dashboards points to challenges in ensuring data integrity and consistent reporting across diverse teams, such as product and finance, which commonly have differing data perspectives. Partnering cross-functionally means the candidate must be skilled in translating complex analytics into clear, actionable narratives for both technical and non-technical stakeholders, a critical factor in driving strategic decision-making. Success in this role is measured by the ability to uncover discrepancies, improve reporting scalability, and deliver insights that directly influence financial and operational outcomes, requiring ownership, collaboration, and a proactive approach to problem-solving in an ambiguous, data-heavy environment. The necessity of at least five years in a relevant analytics field highlights the complexity and depth of understanding expected regarding digital media metrics and marketing dynamics.

Company Analysis:

Launch Potato operates in the highly competitive digital media industry as a discovery and conversion platform connecting advertisers with consumers throughout the purchasing funnel. The company’s innovative positioning as a connector across the entire consumer journey suggests a dynamic, growth-oriented environment with a strong focus on data-driven performance. Their international, diverse workforce and entrepreneurial culture likely foster fast-paced, collaborative work, emphasizing both autonomy and teamwork. Given their focus on profitability and performance, this role is integral to their strategic growth by ensuring data-driven decisions align closely with financial performance and product development. The company’s positioning also implies that analytics and reporting are crucial for maintaining competitive advantage and scaling solutions effectively, putting this analyst in a cross-functional role with significant visibility, especially when partnering with finance and product teams. Their emphasis on diversity, equity, and inclusion further suggests a culture valuing varied perspectives, which can enrich insight generation and problem-solving in the organization. Candidates looking to thrive here should embrace proactive communication, continuous improvement, and a strong customer-and-results-oriented mindset aligned with a performance-driven ethos.

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

• Behavioral: Tell me about a time when you had to standardize or clean a large set of dashboards or reports. What challenges did you face and how did you overcome them?
• Behavioral: Describe an experience where you identified discrepancies in data reporting that others missed. How did you handle communicating this to stakeholders?
• Behavioral: Share an example of collaborating with cross-functional teams such as finance and product. How did you ensure alignment and maintain strong working relationships?
• Behavioral: Can you describe a situation where you had to simplify complex data insights for a non-technical audience? What approach did you use?
• Technical: How do you approach building and optimizing Looker dashboards to support scalable self-service analytics?
• Technical: Walk me through your process for troubleshooting inconsistencies in SQL queries or data pipelines within a digital marketing context.
• Technical: What key metrics and KPIs do you prioritize when analyzing digital media performance, and why?
• Technical: How do you ensure data integrity and validation when working with multiple stakeholder data sources?
• Situational: Imagine you discover a significant mismatch between financial data and operational reporting late in a quarter. How would you address the issue?
• Situational: If a product team requests ad hoc analyses that conflict with existing business intelligence dashboards, how do you manage expectations and alignment?
• Situational: How would you handle a situation where key stakeholders have different definitions for a core metric critical to performance reporting?
• Company Fit: What attracts you to Launch Potato’s mission as 'The Discovery and Conversion Company,' and how do you see your role contributing to it?
• Company Fit: How do your personal values align with Launch Potato’s commitment to diversity, equity, and inclusion?
• Company Fit: Given Launch Potato’s fast-paced, entrepreneurial culture, how do you prioritize tasks and manage competing deadlines?
• Candidate Questions: Can you describe how Launch Potato’s analytics team collaborates with other departments such as product and finance on a day-to-day basis?
• Candidate Questions: What are the main challenges Launch Potato currently faces in aligning financial and operational data?
• Candidate Questions: How does Launch Potato support professional development and growth for its analytics professionals?