Okay, I've searched for Business Analyst roles in Indiana that are full-time, require SQL and data analytics skills, and a bachelor's degree. I have found several positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

This role, GO-AI ACES Business Analyst within Amazon's Global Operations AI team, is fundamentally about bridging data analytics and business operations to drive automation and process scalability in a cutting-edge, high-tech environment. The candidate is expected to tackle complex, ambiguous problems by breaking them down into manageable pieces, demonstrating strong analytical rigor supported by data-driven decision-making. Core responsibilities include identifying automation opportunities, designing and executing data pipelines (ETLs) using SQL and tools like Amazon S3 and QuickSight, and building dashboards that generate actionable insights. Beyond technical prowess, the role demands soft skills such as influencing cross-functional stakeholders without formal authority, effective communication tailored to both technical and business audiences, and navigating the nuances of a fast-paced, innovation-driven environment. Success looks like delivering scalable, innovative solutions under constrained resources, improving existing workflows, and pushing programs that complement Amazon’s AI-driven robotic fulfillment centers. With a minimum of one year of relevant experience, the role demands a blend of technical acumen and strategic operational insight, where problem-solving is iterative, and impact is measured by enhanced process efficiency and trust earned across teams.

Company Analysis:

Amazon is a global technology and retail giant driven by an intense customer obsession and a culture that prizes invention, operational excellence, and long-term vision. The company's 'Day 1' mentality encapsulates a startup-like eagerness combined with the muscle of a large enterprise, encouraging employees to innovate quickly, embrace failure as a learning tool, and relentlessly focus on customer experience. This specific role is nested within Amazon's Global Operations AI team, indicating a highly specialized function supporting the core mission of enabling the robotic fulfillment centers transforming e-commerce logistics. Amazon’s culture prioritizes nimbleness, data-backed decisions, and scalable innovation, which aligns perfectly with the demands of this business analyst position. The candidate, likely an individual contributor but working cross-functionally, can expect exposure to senior leadership and collaboration across technical, operational, and business domains. Working here requires embracing ambiguity, balancing frugality with creativity, and being comfortable in a fast-moving, high-impact environment focused on building systems that operate at massive scale. Long-term growth opportunities hinge on delivering measurable business outcomes that directly support Amazon's automation strategy and operational efficiency goals.

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

• Behavioral: Tell me about a time when you had to simplify a complex problem into smaller, manageable parts to achieve a goal. What was your approach and outcome?
• Behavioral: Describe a situation where you influenced a stakeholder or team without having formal authority. How did you build trust and alignment?
• Behavioral: Share an example of a time when you faced ambiguity in a project. How did you navigate it and what steps did you take to clarify the direction?
• Behavioral: Explain how you have handled competing priorities in a fast-paced or resource-constrained environment.
• Technical: How would you design an ETL process using SQL and cloud storage tools like Amazon S3 to generate business insights?
• Technical: Walk me through how you would create a dashboard in Amazon QuickSight to monitor operational metrics for a fulfillment center.
• Technical: Can you explain how you optimize SQL queries for handling big data efficiently in a business analysis context?
• Technical: Describe your experience with data mining tools such as SAS or SPSS. How have you used these tools to support decision-making?
• Situational: Imagine you identify a process within the fulfillment operation that has manual inefficiencies but limited budget for automation. How would you propose a frugal yet innovative solution?
• Situational: If you received contradictory requests from multiple stakeholders about an automation project’s priority and scope, how would you handle the situation?
• Situational: Suppose a new data source contradicts the existing insights used for decision-making. How do you verify data accuracy and communicate your findings?
• Company Fit: What attracts you to Amazon's culture of 'Day 1' and how do you think this mindset will influence your work as a Business Analyst on the GO-AI team?
• Company Fit: How do your personal values align with Amazon’s focus on customer obsession and operational excellence?
• Company Fit: Why are you interested in working specifically on the Global Operations – Artificial Intelligence team, and what excites you about combining AI with human decision support?
• Questions for Interviewer: How does the GO-AI team measure the success of its automation projects over time, and what key metrics do you prioritize?
• Questions for Interviewer: Can you describe the typical cross-functional collaboration a Business Analyst experiences within the GO-AI team?
• Questions for Interviewer: How does Amazon support continuous learning and skill development for data analysts working on emerging AI-driven operational technologies?