Okay, I've searched for Business Intelligence Engineer roles in Bellevue, WA, emphasizing data visualization and SQL skills, with ETL experience. I found 120 positions that match your criteria within the tech industry requiring at least 3 years of experience. You can review them now.

Sure. Here's the analysis:

Job Analysis:

The Business Intelligence Engineer position at Lensa for Amazon's Rapid and Rural Logistics team is fundamentally about leveraging data to drive business decisions and streamline operations. The successful candidate will be responsible for establishing a standardized data platform that allows Operations and Finance teams to trust their data sources, thereby enabling data-driven decision-making. The primary responsibilities include identifying and analyzing complex business problems, providing technical expertise in data extraction and analysis, and designing key performance metrics that enhance operational effectiveness. Given the dynamic nature of the logistics field, candidates must possess strong analytical skills along with the agility to adapt to new challenges, support thoughtful decision-making, and engage in effective collaboration across various teams. Success in this role can be measured by the candidate's ability to enhance data awareness in the organization and implement reliable data solutions that lead to improved business outcomes.

Company Analysis:

Lensa operates within the competitive landscape of career technology that focuses on streamlining job search processes through machine learning. As a provider of innovative solutions for both candidates and companies, Lensa prioritizes an inclusive and engaging corporate culture that promotes positive team experiences and supports diverse hiring practices. Within Amazon, specifically in the Rapid and Rural Logistics division, this role plays an essential part in the company's overarching goal of efficient logistics and rapid service delivery. The fast-paced, technology-driven environment calls for a business intelligence engineer who can handle ambiguity while also ensuring high-quality data processing and analytics. The company values self-starters who can influence stakeholders and deliver impactful results quickly. This role fits into a larger network of data professionals, indicating high visibility and the opportunity to influence significant business decisions through data insights.

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

• Tell me about a time when you identified a data discrepancy in a project. How did you handle it?
• Can you describe an experience where you had to influence a non-technical stakeholder to adopt a data-driven solution?
• Discuss a complex data analysis project you worked on. What challenges did you face and how did you overcome them?
• How would you prioritize multiple data requests from different departments within a single project? Can you provide an example?
• How would you approach developing a dashboard for tracking operations performance metrics? What key factors would you consider?
• Describe your experience with SQL and the types of queries you've written for data analysis. Could you showcase an example?
• Can you explain how you've utilized AWS services in a previous role for data handling or processing?
• Imagine you are tasked with creating a new metric to improve operations efficiency. How would you go about identifying what this metric should be?
• Given a scenario where you release a new data tool but users report issues with accessing it, how would you address the situation?
• Why are you interested in specifically joining Amazon's Rapid and Rural Logistics team?
• What do you think sets Lensa apart in the career technology space, and how does that align with your career goals?
• How does your interest in data analytics align with our company's mission of enhancing job search experiences?