At Apple, the business problem is to develop the next generation of analytical solutions to drive the exploration, analysis, development, execution, and measurement of analytical solutions that are critical to running the business, specifically in the area of advertising and customer experience.
Requirements
- Programming skills in Python and SQL, and experience with AWS, Snowflake, Spark and Tableau.
- Experience in advanced quantitative analysis including regression, classification, clustering, and time-series analyses.
- Comfortable working with modern data technologies. Familiarity with database modeling and data warehousing principles.
- Practical experience working with and conducting experiments on large datasets.
- Experience with clickstream data and/or A/B experimentation (preferred).
- Work experience in digital advertising industry and/or product analytics (preferred).
- Experience with data visualization tools such as Tableau (preferred)
Responsibilities
- Support Product, Marketing, Partner Development, and the Executive Team with analytics for product performance and customer insight.
- Work closely with the product team to identify and size new opportunities, develop data requirements, establish appropriate KPIs, and establish proper reporting.
- Become an expert on both the business and the data to drive new insights.
- Quantify the impact of product, sales, and marketing initiatives on customer satisfaction, and future behavior.
- Manage business analytic projects through all phases, including data quality, data modeling, algorithm/KPI development, statistical analysis, data visualization, and presentation of results and deliverables.
- Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance, and greater customer satisfaction.
- Monitor usage metrics, understanding business-based explanations for large scale trends, and patterns in customer lifecycle behavior.
Other
- Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product.
- Ability to work effectively with engineering partners to meet the data needs of the business, translating business needs into analytical requirements.
- Bachelor's degree in Applied Mathematics, Statistics, or other Data Science degrees, or equivalent experience
- 1+ years experience in a Data Science role
- 3+ years experience in a Data Science role (preferred)
