Marketing Analytics Lead

Marketing Analytics Lead 12 Months+ Contract New York, NY Job Description: The Lifecycle Marketing Analytics Lead will focus on analyzing data and providing actionable insights to define cross-channel strategies to drive increased engagement and reduce churn as well as liaise with analytic partners on Lifecycle team priorities. This role will report to the Director of Engagement Marketing and collaborate closely with cross-functional teams. Responsibilities: • Lead cross-functional coordination with data and analytics teams to project manage Lifecycle priorities, translate business needs to clear reporting and analysis requirements, and support the development and maintenance of self-service tools for marketing performance and ROI tracking. • Support day-to-day engagement team analytics needs including advanced reporting, exploratory analyses, and ongoing monitoring of program performance. • Analyze marketing data to identify trends, patterns, and insights to inform and optimize marketing strategies across all channels (email, push & in-app) and stages of lifecycle Basic Qualifications • 5+ years of relevant data analytics experience in engagement, retention and/or growth marketing. Direct-to-consumer subscription, streaming and/or entertainment business experience is a plus. • Expertise manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources leveraging SQL • Strong knowledge of data visualization best practices with experience using Tableau or Looker to tell a story with data • Deep experience with A/B testing from design to interpretation of results and identifying actionable next steps • Highly skilled at simplifying complex problems, distilling data, and constructing compelling narratives to guide decision-making Key Responsibilities: • Automation of email campaigns • Analytics support for automation, adhoc communication. • Partner to a central analytics team. Will be liaison with marketing analytics team. • Digital Marketing Analytics • Retention and engagement analytics. Must haves: • SQL • Must be able to identify trends • Understanding of data visualization tools like tableau-ad testing • Important to have: Segmentation Analysis • Excel, Google Sheets and Designing experiments