Analyst, Global Content & Lifecycle Analytics

Responsibilities

• Define, develop, and maintain key performance indicators and reporting frameworks that inform content, marketing, and broader business strategy for Paramount+.
• Write efficient SQL (Big Query) queries to extract, transform, and analyze data in response to business questions from stakeholders at all levels.
• Conduct advanced analysis of content performance, subscriber lifecycle dynamics, and audience behavior to identify opportunities that drive interaction, retention, and growth.
• Use statistical analysis to develop and enhance models centered around content. This includes valuation, attribution, optimization.
• Build and maintain intuitive dashboards using tools such as Tableau, Looker/Data Studio, and Adobe Analytics, enabling self‑service insights for non‑technical users.
• Stay current on industry and competitive trends, evaluating potential implications for content strategy and the subscriber experience.
• Partner with measurement operations and data engineering teams to ensure proper tracking, data quality, and data structures that enable both robust analysis and scalable reporting.
• Improve data pipelines and develop analytical data sets that support modeling, real‑time reporting, and deeper content and subscription insights.
• Present analytical findings and strategic recommendations in a clear, concise, and compelling manner to both technical and non‑technical audiences.

• Bachelor’s degree in a relevant field or equivalent professional experience.
• Experience in web analytics, digital media, streaming, or related analytical roles; internship or early‑career experience acceptable.
• Advanced proficiency in SQL with a solid ability to extract, manipulate, and analyze data from large datasets.
• Skilled in analytical and visualization tools, including Excel, Microsoft Office, Google Workspace (Docs, Sheets, Slides), Tableau, Looker Studio, and programming languages such as R or Python.
• Knowledge of statistical modeling techniques (e.g., regression, clustering, forecasting) and experience applying them to consumer behavior or content performance.
• Deep attention to detail, with a commitment to data accuracy.
• Extraordinary communication skills, with the ability to translate complex analyses into clear, compelling insights for non‑technical audiences across all levels of the organization.