Conversion Optimization Manager - Apple Retail Online

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$176,600–$265,600 / yr
Posted
36 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $221k
$146k most similar roles pay here $278k

This role pays more than 68% of similar roles. Most pay $165,250–$229,525 — the shaded band above. At the midpoint, this role pays about $221k versus about $197k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Conversion Optimization Manager - Apple Retail Online

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As the Conversion Optimization Manager within Apple's Retail Online Analytics team, you will lead a group of data scientists focused on enhancing customer engagement and conversion rates across Apple’s e-commerce platform. Your daily responsibilities include overseeing site engagement analysis, managing an A/B testing function to drive data-driven decisions, and developing performance dashboards for executive reporting. You will work closely with merchandising, product, and marketing teams to implement insights that improve the online shopping experience. The role requires expertise in SQL, Python, and proficiency in clickstream data analysis, as well as a deep understanding of e-commerce fundamentals and A/B testing practices. Ideal candidates have extensive experience leading analytical teams and applying advanced methodologies like predictive modeling and causal inference to optimize customer behavior at scale.

Skills

SQL Python Adobe Analytics Google Analytics Tableau A/B testing Multivariate testing CI/CD Kubernetes AWS Docker Terraform PostgreSQL Prometheus Grafana

What you'll do

  • Lead analysis of customer behavior across the online shopping journey to identify conversion opportunities.
  • Manage A/B testing practice from hypothesis through readout, ensuring statistical validity and clear recommendations.
  • Develop and maintain measurement frameworks for conversion funnels and engagement metrics.
  • Synthesize complex data into executive-ready narratives that drive prioritization decisions.
  • Oversee team of analysts and experimentation specialists, providing strategic direction and professional development.

What we're looking for

  • 8+ years of digital analytics or e-commerce analytics experience with hands-on clickstream data analysis
  • Over 2 years of management experience leading a team of analysts or data scientists in professional development
  • Proficiency in SQL for large-scale behavioral dataset analysis and Python for statistical analysis and process automation
  • Deep understanding of e-commerce fundamentals, including traffic, engagement, conversion drivers, and revenue metrics
  • Proven experience leading end-to-end A/B testing practices with strong fluency in statistical concepts like p-values and confidence intervals
  • Hands-on experience with enterprise clickstream analytics platforms and data visualization tools

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