Okay, I've searched for Business Intelligence Engineer roles in New York, full-time, requiring 5+ years of experience, and skills including SQL and data visualization tools. I have found 154 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Business Intelligence Engineer (BIE) role within Amazon's Delivery Experience organization is fundamentally about enabling data-driven decision making to accelerate and optimize fast delivery services like One-Day and Same-Day delivery globally. The core responsibility is to develop actionable insights from complex, large-scale data sets, partnering cross-functionally with product managers, marketers, and engineering leaders to guide strategic and operational improvements. Success in this role hinges on strong technical expertise in SQL, data visualization tools (such as Quicksight), and the ability to design scalable, automated reporting systems that surface key business metrics and trends. Beyond technical skills, the role demands excellent communication capabilities to translate intricate data findings into clear narratives for diverse stakeholders, including senior leadership. Handling ambiguity and operating in a rapidly evolving environment requires a proactive mindset, creativity in problem-solving, and continuous learning. The candidate will likely face challenges such as tailoring analytic products to different user needs, balancing short-term tactical reporting with long-term strategic analyses, and influencing decisions in a fast-paced, high-impact setting. Delivering timely, reliable, and insightful data outputs that directly impact Amazon’s ambitious delivery growth goals—such as expanding service to new cities and improving delivery speed—is the ultimate measure of success within the first 6-12 months.

Company Analysis:

Amazon occupies a unique position as a global technology and e-commerce leader driven by intense customer obsession and innovation. This environment fosters a culture that values fast decision-making, experimentation, and long-term thinking—a combination that directly influences how this BIE role operates. The company’s Delivery Experience team is mission-critical, given that delivery speed and quality are central to Amazon’s competitive advantage and customer satisfaction. The culture is fast-paced and data-driven, expecting employees to embrace ambiguity and continuously invent. While Amazon has the scale and resources of a large corporation, it prizes the agility and ownership mindset of a startup, which means this role offers substantial visibility and impact, particularly as it partners deeply with product and engineering teams. The strategic alignment of this position with Amazon’s broader goals of scaling innovative delivery offerings means the BIE isn’t just a report generator but a strategic analytic partner helping to unlock growth and customer delight. Candidates who thrive here are those who balance technical mastery with strong business acumen, communication finesse, and the willingness to evolve alongside changing technologies and business priorities.

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

• Behavioral: Tell me about a time when you had to translate ambiguous or complex business problems into clear analytic requirements. How did you approach it?
• Behavioral: Describe an instance where your data insights influenced a major business decision or strategy. What was the outcome?
• Behavioral: Give an example of how you managed competing priorities across different stakeholders while maintaining high-quality analytic deliverables.
• Behavioral: Share a situation where you had to learn a new tool or method quickly to solve a challenging problem. How did you ensure effective application?
• Technical: How would you design and implement an automated dashboard to track the key performance indicators for a rapidly scaling delivery program?
• Technical: Walk me through the process you use to clean and transform large datasets from multiple sources for analysis in SQL and BI tools.
• Technical: Explain how you would define and validate new metrics to reflect customer experience improvements for Same-Day delivery.
• Technical: What experience do you have with statistical modeling or scripting languages in the context of business intelligence, and how have you applied those skills?
• Situational: Imagine your product manager requests an urgent analysis without clear business questions or data definitions. How would you handle this request effectively?
• Situational: You identify conflicting data across dashboards used by different teams. How do you investigate and resolve these discrepancies?
• Situational: Suppose the leadership is pushing for faster delivery expansion but the data shows some cities are underperforming. How would you communicate these insights and suggest a way forward?
• Company Fit: Why does helping Amazon extend its One-Day and Same-Day delivery services globally excite you, and how do you see your skills contributing to this mission?
• Company Fit: Amazon values rapid decision-making and innovation. How do you adapt to fast-paced and often ambiguous work environments while delivering quality analysis?
• Company Fit: How do your personal values and work style align with Amazon’s principle of 'customer obsession' and its 'Day 1' philosophy?
• Questions for Interviewer: How does the Delivery Experience team currently prioritize and balance competing analytics requests from cross-functional partners?
• Questions for Interviewer: What new tools or technologies is the analytics team exploring to enhance automation and scalability of reporting?
• Questions for Interviewer: Could you share examples of how BIEs at Amazon have influenced strategic decisions or innovations within the Delivery Experience org?