Manager, Online Analytics

Cupertino, CA 95014
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Posted: Dec 22, 2020

Role Number:200212889

The people here at Apple don't just create products - we build the kind of wonder that has revolutionized entire industries. It's ...Summary


Posted: Dec 22, 2020

Role Number:200212889

The people here at Apple don't just create products - we build the kind of wonder that has revolutionized entire industries. It's the diversity of our people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it.

Join Apple Retail as a key member of the Apple Online team, reporting to the Sr. Manager of Analytics and Decision Support. As the Manager of Online Analytics, you will lead a team of Data Scientists and Analysts responsible for supporting the Apple Online business and marketing teams, as well as the broader Retail Stores organization with best in class data driven insights.

Key Qualifications

  • Expert level knowledge of applied regression techniques including, but not limited to: Linear, Logistic, Mixed models, Distributed Lags, Time Series, GLM & Simultaneous Equations.
  • Experience with big data computing and machine learning techniques (e.g., Spark, Hadoop, Scikit-learn in Python, etc.) is a plus.
  • Expert in development of marketing mix models to analyze and simulate the incremental impact of digital and offline marketing.
  • You can conceptualize and deploy Design of Experiments to measure interaction effects of various marketing channels during product launches, promotions and business as usual time periods.
  • Demonstrated mastery of synthesizing complex analysis into simple, meaningful and actionable insights.
  • Proven ability to be effective in virtual team leadership, and managing through influence. Outstanding collaborator.
  • Experience building, motivating, developing and inspiring a team
  • Strong track record of initiating and managing cross-functional and cross-organizational projects, building relationships with stakeholders, and influencing decision makers
  • Strong verbal and written communications skills
  • Exceptional ability to problem solve, develop creative solutions, and demonstrate resourcefulness, while maintaining extreme attention to detail.
  • Experience supporting eCommerce and Digital Marketing stakeholders.


The Online Analytics team is responsible for providing insights and analytical solutions to Digital Marketing and MarCom, Online Merchandising and eCommerce commercial teams, Online Product Management, Retail Real Estate as well as Finance partners.

We are seeking an experienced senior professional to manage a team of data scientists to design, develop, and field analyses and tools that have direct and measurable impact to the customer experience and business outcomes.

This individual is highly proficient in turning data discoveries into analytical insights that drive business and customer outcomes and requires a mix of high level leadership and deep experience directing the activities of a highly applied and deliverables focused team.

You are skilled analytically, with a deep understanding of the businesses you support. You will be a thought partner to your business stakeholders, understand their goals and objectives, and then use your analytical skills and tools to surface actionable insights.

We seek a strong business attitude and exceptional technical skills, while possessing the ability to condense complex analysis and technical concepts into clear and concise takeaways for business leaders.

Education & Experience

10+ years of experience in the Marketing Science space.
5+ years of people management experience.
Advanced degree in a quantitative field, such as statistics, applied social sciences, engineering, or mathematics.

Additional Requirements

Jobs Rated Reports for Online Sales Manager

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Manager, Online Analytics

Apple, Inc.
Cupertino, CA 95014

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Online Sales Manager
91st2019 - Online Sales Manager
Overall Rating: 91/199
Median Salary: $90,110

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