Business Intelligence Engineer

Paramount

Analyst on the Global Content & Lifecycle Analytics team at Paramount+, delivering actionable insights for strategy. Engaging with data to optimize subscriber lifecycle across a flagship streaming service.

Posted 6/23/2026full-timeBurbank • California • 🇺🇸 United StatesMid-LevelSenior💰 $89,880 - $134,820 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)
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

SQLBigQuerystatistical analysisdata modelingdata analysisdata manipulationdata visualizationstatistical modelingregressionclustering

Soft Skills

attention to detailcommunication skillsanalytical thinkingstrategic thinkingpresentation skills