Join Amazon's ACE Analytics Team and influence the career journeys of over 1.5 million Amazonians! We are seeking a passionate Senior Business Intelligence Engineer (BIE) to help transform how we understand and enhance career development within Amazon. You will work alongside a talented team of BIEs and Data Engineers, crafting scalable analytics solutions that impact individuals across more than 40 countries. Key Responsibilities: Collaborate directly with product owners to leverage data-driven insights that shape product design and strategy. Design and implement comprehensive business intelligence solutions for new and evolving talent products. Develop scalable self-service analytics platforms that empower stakeholders to independently track metrics and trends. Influence data warehouse frameworks to accurately capture and measure the impact of product features. Connect business needs with technology to provide recommendations focused on customer success. Establish and implement innovative measurement methodologies to track success metrics. Why This Role Matters: Play a pivotal role in shaping the career development of over 1.5 million Amazon employees worldwide. Engage with cutting-edge talent development initiatives that are proprietary to Amazon. Join a high-performing team dedicated to driving data strategies in one of Amazon's most impactful sectors. Make substantial contributions toward data-driven decision-making across diverse functionalities. This position is ideal for candidates who are enthusiastic about: Building scalable analytics solutions for enterprise-level systems. Translating complex business challenges into actionable insights. Thriving in a fast-paced environment characterized by ongoing innovation. Making a meaningful difference in the career development of others. Basic Qualifications: 10+ years of professional or military experience. 5+ years of SQL experience. Strong programming skills for extracting, transforming, and cleaning large datasets (multi-TB). Experience with experimental design theory and the statistical analysis of results. Proficiency in AWS technologies. Knowledge of scripting for automation (e.g., Python) and advanced SQL capabilities. Familiarity with data science, machine learning, and data mining methodologies. Preferred Qualifications: Experience collaborating with business stakeholders to bridge data and business requirements. Ability to manage, analyze, and communicate insights to senior leadership. We are committed to cultivating an inclusive work environment where everyone can thrive. If you are in need of workplace accommodations during the application or hiring process, please reach out for assistance. Our compensation packages are competitive, reflecting different geographical markets and take into account various factors, including skills and experience. This position will remain open until filled. We encourage you to apply through our career portal today!