Analyst, Global Content & Lifecycle Analytics

Paramount

Analyst on Global Content & Lifecycle Analytics team leveraging data insights for Paramount+. Driving content strategy and subscriber lifecycle optimization with actionable recommendations.

Posted 6/30/2026full-timeBurbank • California • 🇺🇸 United StatesMid-LevelSenior💰 $85,600 - $128,400 per yearWebsite

Tech Stack

Tools & technologies

BigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Define, develop, and maintain key performance indicators and reporting frameworks that inform content, marketing, and broader business strategy for Paramount+
Write efficient SQL (BigQuery) 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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

medical
dental
vision
401(k) plan
life insurance coverage
disability benefits
tuition assistance program
PTO

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLStatistical ModelingData AnalysisData TransformationData Pipeline ImprovementContent Performance AnalysisAudience Behavior AnalysisKPI DevelopmentReporting FrameworksData Quality Assurance

Soft Skills

Extraordinary Communication SkillsAttention to DetailAnalytical ThinkingCollaborationProblem-Solving