Business Intelligence Engineer, LMAQ

## Responsibilities - Ensure goal alignment with Technology, Operations, and Finance teams. - Serve as the face of the organization to global stakeholders. - Drive results-oriented, high-energy, dynamic individual with stamina and mental quickness to thrive in a fast-paced, high-growth global organization. - Bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. - Partner closely with product and technology teams to define and build innovative and delightful experiences for customers. - Set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. - Lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. - Effectively manage customer expectations and resolve conflicts that balance client and company needs. - Develop processes to effectively maintain and disseminate project information to stakeholders. - Be successful in a delivery focused environment and determining the right processes to make the team successful. - Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. - Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. - Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. - Serve as a role model for Amazon Leadership Principles inside and outside the organization. - Actively seek to implement and distribute best practices across the operation ## Requirements - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with scripting language (e.g., Python, Java, or R) - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Experience applying basic statistical methods (e.g. regression) to difficult business problems - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports - Track record of generating key business insights and collaborating with stakeholders ## Nice to Have - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Knowledge of data modeling and data pipeline design - Experience in designing and implementing custom reporting systems using automation tools ## Benefits - Inclusive culture that empowers Amazonians to deliver the best results for our customers. - If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.