Conduct deep-dive analyses to generate insights that inform content strategy, product experience, and growth initiatives
Design and operationalize frameworks and models that link user activity (content consumption, platform usage) to downstream subscriber lifecycle outcomes
Identify churn improvement opportunities and risk areas through proactive analysis
Translate complex analytical findings into clear, compelling narratives for executive leadership and cross-functional stakeholders
Deliver fast, ad-hoc analyses to address evolving business needs and priorities
Partner with our Research team to integrate qualitative knowledge with quantitative models and metrics
Partner closely with Data Engineering to design scalable pipelines, data models, and dashboards
Integrate AI-driven tools and automation into daily workflows to enhance efficiency, scale reporting, and unlock deeper performance insights

3-5+ years of experience in analytics, business intelligence, or data analysis
Proficiency building dashboards in Looker and/or Tableau
Proficiency in SQL for data exploration and analysis
Experience translating complex datasets into clear visualizations and insights
Strong communication skills with the ability to present insights to cross-functional stakeholders
Ability to manage multiple priorities and ad-hoc requests in a dynamic environment
Strong solutions-oriented and critical thinking mindset

Lead Analyst, User Lifecycle Analytics

Key skills