Lead, Conversion & Onsite Engagement Analytics

Apple Inc.; Cupertino (CA); On-site; USD 183,700 - 276,200; Full time

Job summary

Apple Inc. is seeking a senior leader to manage the Conversion Optimization team within Retail Online Analytics.

You will guide a team of data scientists to optimize how millions of customers discover, explore, and purchase Apple products online, driving on-site engagement and conversion through rigorous experimentation. You will partner with merchandising, product, and marketing to surface actionable insights that influence the online shopping experience, including end-to-end analytics, test

Qualifications

• 8+ years of digital analytics across web and app platforms.
• 2+ years leading a team of analysts or data scientists.
• Proficient in SQL for large-scale data extraction and analysis.
• Proficient in Python for data science workflows and ML workflows.
• Deep understanding of e-commerce drivers: funnel, engagement, conversion, revenue.
• Experience leading end-to-end A/B testing with statistical rigor.

Responsibilities

• Lead site engagement and conversion analytics; translate findings into actionable recommendations.
• Manage and grow the A/B testing function with robust standards.
• Deliver recurring and ad hoc dashboards and executive-ready reports.
• Mentor and develop a high-performing analytics team and foster a culture of rigor and impact.

Skills

Digital analytics

Team leadership

SQL

Python

E-commerce

A/B testing

Education

Bachelor's degree in Statistics / CS / Economics

Tools

Adobe Analytics

Google Analytics

Tableau

Job description

Apple Inc. is seeking a senior leader to manage the Conversion Optimization team within Retail Online Analytics.

You will guide a team of data scientists to optimize how millions of customers discover, explore, and purchase Apple products online, driving on-site engagement and conversion through rigorous experimentation. You will partner with merchandising, product, and marketing to surface actionable insights that influence the online shopping experience, including end-to-end analytics, test