Data Scientist, Subscription Analytics

Apple • San Diego, CA

13h

About The Position

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

Requirements

• 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

Nice To Haves

• 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.

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level