Lead Analyst, User Lifecycle Analytics

Paramount•New York, NY

2d•$145,000 - $145,000

About The Position

Paramount Streaming is a division of Paramount that encompasses both free, paid, and premium streaming services including Paramount+ and Pluto TV. We are the Global Content and Lifecycle Analytics team, part of the Paramount Streaming, Data & Insights Group (DIG) team. DIG is a key connector among the Paramount Streaming verticals. The group consists of subject matter experts that prototype, build, and scale data infrastructure and products; assess, aggregate, and analyze data; and shape qualitative and quantitative based narratives and insights, providing stakeholders with decision support, performance clarity and business driving recommendations. The User Lifecycle Analytics team works closely with Lifecycle Marketing, Finance, Data Science and DTC Executives to drive subscriber growth and retention.

Requirements

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

Nice To Haves

Robust mathematics and statistics background
Experience working with predictive models

Responsibilities

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