- Conduct deep dives on large-scale datasets to identify key drivers of business health metrics such as user acquisition, conversion, retention, and engagement.
- Generate insights and make data-driven recommendations that support decision-making and help optimize overall business performance.
- Measure the impact of initiatives for Apple’s media subscription businesses by analyzing initiatives spanning user experience improvements, promotional offers, business development partnerships, and more.
- Conduct causal inference analysis and analyze the results of A/B tests in order to assess the incrementality of business initiatives.
- Partner with Business Intelligence to define metrics, automate recurring reporting deliverables, and create self-service dashboards for key business stakeholders.
- Help define engineering, instrumentation, and BI requirements for new datasets and data products to support new feature releases.
- 5+ years experience extracting insights from large datasets, specifically employing programming languages like Python and SQL.
- Demonstrated ability to apply data science techniques to find answers to ambiguous real-world questions in a changing environment and communicate them to stakeholders.
- Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytics teams.
- Comfort working cross-functionally across multiple teams, including both technical and non-technical partners.
- Create and deliver presentations to business stakeholders including senior executives.
- Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
- Experience in and/or passion for the media and entertainment industry.
- Experience analyzing the performance of subscription businesses and familiarity with subscription lifecycle metrics.
- Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
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