Are you ready to be a key player in the transition to the cloud? Join Amazon Web Services (AWS) as a Business Intelligence Engineer II in the Analytics and Data Solutions (ADS) team. We are on the lookout for a passionate individual with exceptional analytical skills, business acumen, and strong technical capabilities to help drive our mission. AWS Infrastructure Services is responsible for the design, planning, delivery, and operation of all global AWS infrastructure, including data centers and associated equipment crucial for continuous customer access to innovation. Our team faces exciting challenges, navigating countless variables in the supply chain. As a Business Intelligence Engineer, your role will directly influence decisions and strategies across AWS Infrastructure Services and our customer base. We encourage those who thrive in data-driven environments and have an eye for detail to apply. Your responsibilities will include: Designing, developing, and maintaining scalable, automated systems, reports, and dashboards to meet business needs. Using advanced analytic and business intelligence skills to extract meaningful insights from complex data sets. Building and optimizing ETL pipelines for automated reporting. Acting as a bridge between business and technical teams to deliver actionable insights on current performance and support future innovations. Creating compelling visualizations to highlight business trends, patterns, and anomalies. Adopting best practices in reporting and analysis, including data integrity and validation. We value diverse experiences and encourage candidates from various backgrounds to apply, even if they don’t meet all preferred qualifications. We believe that a healthy work-life balance is crucial, and we are committed to creating an inclusive culture that fosters creativity and empowerment. Basic Qualifications: 3+ years of experience with data analysis and interpretation using tools like Redshift, Oracle, or NoSQL. Proficiency in data visualization tools such as Tableau or Quicksight. Experience in data modeling, data warehousing, and ETL pipeline development. Familiarity with statistical analysis packages such as R, SAS, and Matlab. Strong SQL skills for data extraction and experience with scripting languages like Python for data processing. Preferred Qualifications: Experience with AWS services, including EC2, DynamoDB, S3, and Redshift. Knowledge of data mining techniques and working with large, complex datasets. Your contributions will play a significant role in shaping the future of AWS. If you are eager to take on exciting challenges and make an impact in a growing analytics team, we encourage you to apply. This position is based at the Amazon Data Services, Inc. location.