We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.

We are looking for an experienced Data Analyst/Scientist to help us develop insights into how Apple customers experience our input technologies. This includes but is not limited to:

• Accuracy of our intelligent algorithms such as autocorrection and QuickPath.
• Usage of specific features including engagement
• Soft spots in our technology stack that might contribute to user frustration

These insights will be developed via a combination of metrics, A/B testing, user studies/surveys and other data-oriented approaches.

The Input Experience organization is looking for an experienced and highly motivated data analyst/scientist! You will partner across engineering groups building world class intelligent input, and evangelize a culture of using data to measure, understand, and improve our products and features. You have years of practical experience building measurement, evaluation, and insights to improve products and services.

IN THIS ROLE, YOU WILL:

• Work closely with leadership and engineering teams to help define and prioritize the insights we need to make the very best products
• Drive the generation of insights from raw, unstructured data to improve existing features and explore future directions. Develop extensive knowledge of existing metrics, advocating for changes where needed.
• Work closely with engineering teams to guarantee the consistency and validity of metrics across platforms, modalities and languages.
• Work closely with user studies teams to collaborate on research that will increase our understanding of input technologies beyond what we can measure with on-device telemetry.
• Conduct analysis that includes data gathering and requirement specifications, processing, analysis, and report generation.
• Drive regular insights reports and presentations with Apple’s leadership teams.
• Tackle difficult, non-routine analysis problems, applying advanced analytical methods as needed.
• Evangelize adoption of best practices and build greater awareness of common data analysis pitfalls.

Key Qualifications

• 3+ years of industry experience building data-driven solutions to solve business problems, especially around launching of new products and services.
• Ability to dive into the details on product features and underlying architecture in order to help define success criteria and the ways we can measure that via metrics and other approaches. This will involve close collaboration with the engineering teams that develop those features.
• Project leader and multitasking experience that can continuously move multiple cross-functional projects forward.
• Solid foundation in statistical analysis.
• Strong data-querying skills (SQL and/or Splunk, etc.), solid experience with big data, and familiarity with a scripting language for data processing and development (e.g., Python).
• Solid experience working with Tableau or other data visualization technologies and the ability to design striking and informative dashboards and reports.
• Ability to work cross-functionally with other Apple organizations including Marketing, Data Analytics, User Studies, Siri and application development teams.
• Excellent communication and presentations skills to naturally explain difficult technical topics for business partners and leaders to comprehend easily.
• Experience/interest in working across different global cultures and languages. Knowledge of other languages (e.g, Chinese, Japanese, Arabic) is a plus!