Responsibilities

• Execute Paramount+ subscriber forecasts, including acquisition starts, churn, and short- and long-term retention, in close collaboration with Data Science, Marketing, and Finance teams
• Run and maintain cohort-based analyses to assess subscriber behavior, retention curves, and lifecycle dynamics
• Collect, validate, and analyze forecasting inputs across acquisition, retention, and partnership channels
• Perform variance analysis versus plan, identify drivers of performance, and surface insights to support optimization decisions
• Write, run, and optimize SQL queries to extract and examine large datasets supporting forecasting and performance analysis
• Support development and maintenance of forecasts for new starts, churn, and subscriber base in partnership with Data Science and Paid Media teams
• Produce weekly and monthly reporting on pacing, actuals vs. goals, and forecast accuracy
• Partner with BI teams to support automation of recurring reports and dashboards
• Support promotional scenario analysis and post-promotion performance assessments against business case goals

Requirements

• Bachelor's degree in Business, Economics, Data Analytics, or related field
• 5+ years of experience in forecasting, analytics, performance marketing, or strategic analysis within subscription or digital media businesses
• Robust knowledge of subscriber funnels, retention, churn, and forecasting methodologies (including variance and scenario analysis)
• Advanced Excel and SQL skills; experience with BI/data visualization tools (e.g., Tableau, Power BI)
• Experience analyzing large datasets and translating insights into clear recommendations for cross-functional stakeholders
• Familiarity with multi-platform products (mobile, web, OTT)
• Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment.

Preferred

• Experience in digital streaming or subscription media
• Exposure to predictive modeling, machine learning concepts, or tools such as Python or R
• Solid communication and stakeholder management skills
• Comfortable operating in dynamic, evolving environments
• Interest in user experiences driven by algorithms and recommendation systems

Benefits

• medical, dental, vision
• 401(k) plan
• life insurance coverage
• disability benefits
• tuition assistance program
• PTO
• Generous paid time off.
• bonus eligible