Apple's Growth Marketing Operations Team needs a Marketing Data Analyst to automate targeting deliverables for customer segmentation, develop targeting cohorts, and support lifecycle marketing for millions of users across multiple Apple services. The role aims to drive business decisions and operational efficiency through data analytics and technology.
Requirements
- High proficiency with databases and data retrieval, including Trino SQL, Snowflake, Spark and REST APIs
- Experience working with R, Python, SAS, or other statistical programming languages
- Experience building operational dashboards and automated reporting, preferably in Tableau and/or Streamlit
- Hands-on experience with at least 2 of the following statistical models/techniques: recommendation systems, neural networks, deep learning, optimization and simulation, churn models, logistic regression, linear regression, forecasting, A/B Testing, clustering and segmentation, or others
Responsibilities
- Automating targeting deliverables currently using SQL queries, for the purposes of customer segmentation, developing targeting cohorts, and lifecycle marketing.
- Create meaningful business tools and dashboards that drive business decisions across the Growth Marketing organization.
- Building and maintaining data pipelines.
- Creating reports and dashboards for stakeholders.
- Ensuring data integrity through processing, cleansing, and validation efforts.
- Identify operational trends to develop technical solutions.
- Maintain comprehensive documentation of targeting procedures and processes.
Other
- B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics, and/or Statistics
- 5+ years of experience working as a decision/data scientist/analyst, data engineer, or software engineer
- Capable of producing high quality deliverables within tight deadlines
- A passion for data and technology
- Strong communicator with both upstream and downstream stakeholders
- Ability to adapt to changes, self-driven and multitasking in very fast paced environment are key success factors for the right candidate
