Job Description

We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards bright, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic and fast paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining us. We are looking for an experienced individual who will focus on exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of feature usage behavior and conversion optimization.

This role focuses on subscription analytics and initiatives to drive growth. Here, you will partner closely with Product, Business, Data Engineering and Instrumentation teams. The tasks fall broadly into these areas:

- Size new opportunities and work with a broad cross-functional team to support roadmap planning, implementation, and launch of new products and features.
- Identify key learnings from data and distill findings into recommendations for business owners
- Define, measure and communicate KPIs for overall business and key initiatives. Build and maintain regular reports and provide ad-hoc analysis to support business needs
- Work with engineering to identify data needs for new initiatives and build data pipelines. Partner with the instrumentation team to ensure tracking is in place before launches

Preferred Qualifications

Related business understanding with experience in product growth or analytics.
Strong business presentation and storytelling skills. Communication skills to package findings.
Work well within cross-functional teams and manage stakeholders.
Ability to structure and solve problems.

Minimum Qualifications

5+ years of experience working and understanding of data structures and pipelines.
5+ years of experience with demonstrated expertise in programming, developing, and managing SQL, R and/or PySpark.
Bachelor's degree in the preferred fields of Mathematics, Economics, Engineering, Statistics, Business Analytics, Finance, or equivalent quantitative discipline