Lead, Conversion & Onsite Engagement Analytics

Apple Inc.

Cupertino (CA)

On-site

USD 183,700 - 276,200

Full time

14 days+

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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

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