Apple Inc. is looking to solve the problem of improving customer satisfaction and experience through data analysis and insights across all AppleCare touch points.
Requirements
- Using statistical techniques to generate insights and patterns from raw unstructured data
- Using Machine Learning techniques to identify anomalous trends, creating best suited solutions via recommendations for customers
- Leading end-to-end analytics projects to identify problems, design analytics plan, problem identification, scope management, analytics design, gather and process data, analyze and produce reports
- Utilizing Python, R and SQL to process huge quantum of data in a short span of time.
- Utilizing data visualization tools to provide insights focusing on customer behavior
- Applying Data Science concepts to identify common themes and clusters in huge data sets and make it available for easy consumption and analysis
- Providing actionable insights to help business take decisions focusing on customer experience based on statistical analysis
Responsibilities
- Conduct end-to-end analyses across all AppleCare touch points, including data gathering from large and complex datasets, and analyses using advanced statistical and machine learning (ML) methods.
- Collaborate with internal partners and cross-functional teams to define and refine business and research questions and use analytics, data mining, statistical techniques, and ML to address questions.
- Drive the generation of insights from raw, unstructured data to improve existing features and explore future directions.
- Identify content, navigation and user experience elements that impact customer satisfaction via deep analysis, A/B testing and multivariate testing approaches.
- Present findings from analytics and research and make recommendations to leadership and cross-functional business partners.
- Develop extensive knowledge of existing metrics.
- Create new metrics for performance measurement and advocate for changes to existing metrics where needed.
Other
- Master's Degree or foreign equivalent in Operation Research, Industrial Engineering, Analytics, Data Science, Computer Science, Engineering (any), or related field and 2 years of experience in the job offered or related occupation.
- 40 hours/week
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
- We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
