Apple

Senior Maps Client Analytics Engineer - Apple Maps and Ecosystem

Cupertino, CA (On-site)

Apple Maps is looking for a passionate and skilled Senior Maps Client Analytics Engineer to join our team. This role sits at the exciting intersection of cutting-edge client technology and data-driven insights, where you will design and build the robust analytics infrastructure that enables us to understand user behavior and inform the evolution of exceptional visual experiences across Maps and other Apple ecosystems such as Find My. Your work will directly impact how millions of users experience maps, driving continuous improvement through deep understanding of client-side data. DESCRIPTION In this individual contributor role, you will be instrumental in designing, implementing, and maintaining the client-side analytics frameworks that power our understanding of user interaction within Apple Maps. You will enable the transformation of raw data into actionable insights, collaborating closely with product, design, and cross-functional engineering teams to identify key metrics, track performance, and uncover opportunities for innovation. We are looking for an engineer who thrives on technical excellence, is user-centered, and possesses a strong passion for leveraging data to shape the future of our products. MINIMUM QUALIFICATIONS 5+ years of professional software development experience, with a strong focus on analytics, frameworks, and/or client-side applications. 5+ years of experience with Objective-C and Swift. Deep understanding of iOS and macOS application architecture and development best practices. Proven experience in designing and implementing client-side analytics and telemetry systems. Excellent problem-solving skills and a meticulous attention to detail. Strong communication and collaboration skills, with the ability to articulate technical concepts and data insights effectively to both technical and non-technical audiences. Demonstrated ability to balance technical excellence with user needs and product goals. Bachelors Degree or equivalent experience. PREFERRED QUALIFICATIONS Experience with large-scale data analytics platforms and tools. Familiarity with A/B testing methodologies and experimentation frameworks. Background in data science, geospatial data, mapping applications, or location-based services. Experience with scripting languages like Python for automation and tooling around analytics pipelines.