Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! If you are passionate about telling compelling data stories with creative and insightful visualizations we would love for you to apply! The Edge Services team is responsible for connecting people across the globe to Apple. We do this by creating and deploying highly scalable proxy and caching services across the globe, designed to make Apple's services fast, resilient, and scalable. As a Senior BI Engineer on the Edge Services team, you will work with massive internet-scale data across numerous product and customer touch-points, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making. A great fit for this role can communicate and collaborate across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details. We're looking for an experienced data wrangler to use data to make global architecture and deployment decisions, improve Apple Services' performance, and reduce operational costs. The main goal is to create precise data models for our services and present actionable business recommendations based on those models. Working closely with domain experts is crucial to understand our systems' complexities. Effective communication skills are essential to explain and get support for data-driven business recommendations. We're looking for someone passionate about delivering impactful and results-oriented work by deeply analyzing large and complex datasets. Proficiency in Python data science tools is necessary, along with the ability to communicate findings in a clear and accessible way for cross-functional teams. While prior experience at our scale may not be required, experience with distributed applications or analyzing and modeling large datasets is highly valued. Degree in data science, computer science, math or related field is preferred Experience owning and driving process/business improvements tied to analytics Presenting to business leaders and other stakeholders, distilling topics to business leaders Mastery of SQL; PromQL experience is a plus Array