AWS Infrastructure Services Science (AISS) is seeking a Business Intelligence Engineer to join their team that researches and builds machine learning models influencing power utilization at AWS data centers. This role is crucial in ensuring the health of thermal and electrical infrastructure at high utilization levels.
As a Business Intelligence Engineer, you'll work at the intersection of data analysis and business strategy, creating impactful BI and analytics solutions. You'll collaborate with AWS's infrastructure teams, helping maintain the backbone of the world's leading cloud platform. The position offers exposure to complex data challenges involving thousands of variables in the supply chain.
The role demands expertise in data visualization, multidimensional dataset modeling, and effective partnership with business leaders. You'll work in a fast-paced environment, delivering solutions through rapid iterations. Your responsibilities include designing automated reporting systems, extracting insights from complex datasets, and building data pipelines.
AWS values diversity and inclusion, offering a supportive environment where innovation thrives. The company provides comprehensive benefits, emphasizes work-life harmony, and supports career development through mentorship and learning opportunities. You'll join a diverse team of software, hardware, and network engineers, contributing to AWS's mission of providing infinite capacity at optimal costs.
This position offers competitive compensation ranging from $89,600 to $185,000 annually, based on location and experience, plus additional benefits and potential equity. The role requires 3+ years of data analysis experience and strong technical skills in SQL, Python, and visualization tools. If you're passionate about data-driven decision making and want to impact global cloud infrastructure, this role offers an excellent opportunity to advance your career at AWS.