Head of AMP Retail Analytics - Gift Card + Store Credit
Santa Clara Valley (Cupertino), California, United States
Reporting to the head of IS&S Payments & Commerce Analytics, this person will be responsible for leading analytics for the multi-billion dollar App Store & iTunes Gift Card/Code and Direct Top-Up business worldwide. We are seeking an experienced Senior Manager to manage a team of data scientists to design, develop, and field analyses that have direct and measurable impact to the management of the App Store and iTunes Retail business. You are passionate about providing a rich understanding of customer behavior and business dynamics. We are looking for someone that is passionate about building analytics practices and data-powered tools to solve complicated business problems and deliver on our retail & digital strategies. You will manage a team of business analysts, data scientists, and business intelligence professionals responsible for partnering with leadership to empower and improve decision-making. You are self-directed with wide range of technical skills, and is highly proficient in turning data discoveries into analytical insights that drive business and customer outcomes. This is a hands-on role leading a mix of exploratory data analysis, promotional effectiveness, reporting/dashboards and business case development aimed at linking business actions and metrics, market conditions, and consumer behaviors to key marketing & business outcomes. In addition, the Business Intelligence team also conducts deep ad hoc analysis on a broad range of strategic and tactical questions related to CRM activities related to customer acquisition, lifecycle, and retention.
- * Conceive and design end to end scripted analytics solutions using SAS, SQL/TeraData. Experience with analytical systems in Spark + Hadoop with Python or R highly preferred.
- * You are also proficient in Base SAS, SAS STAT & SAS Macros and expertise with SAS - Enterprise Guide/Miner. Expert level SQL required, experience using R/Python within Spark/Hadoop clusters highly preferred.
- * Have strong working knowledge of database structures and data warehousing principles and have authoritative level SQL with the ability to ETL both structured and unstructured data from various sources; experience with TeraData highly preferred.
* We are looking for a hands-on analytics leader who can develop high performing teams to meet the needs of a highly dynamic and complex business. * You have a strong passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote and implement business insights * You are a top-tier analytics professional with 10+ years of experience in forming teams, organizing analytical processes and workflows, and mentoring junior team members * More than just an analyst, you will develop a keen understanding of the business and be a strategic leader with vision and member of the Gift Card leadership team * Have a strong passion for conceptualizing, documenting and deploying complex analytical plans to take on business problems. * Confirmed collaboration, communication and story telling skills with ability to adapt and connect across a variety of audiences. This includes strong writing, and data visualization skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives. * Partner with senior leaders across Gift Card team to understand business goals, consult on data strategies and produce repeatable, data-driven outcomes * You will also have experience crafting end-to-end measurement programs for customer acquisition and retention efforts. * Leading ongoing and ad-hoc analyses, data mining and predictive analytics to provide leadership with actionable insights at tactical and strategic levels. * Be responsible for the planning and implementation of new self-service reporting and ad hoc analysis capabilities to empower business users. * Run workflows, requirements and project roadmap with Apple's IT organization to ensure consistent data availability, data quality and data accessibility. * Be a self-starter, driven, accountable and a highly high-energy teammate. * You have a background in payments and/or physical retailing/merchandising analytics experience highly preferred.
Education & Experience
Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. Ph.D is desired.