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Business Intelligence Engineer
Job in
Burbank, Los Angeles County, California, 91520, USA
Listed on 2026-08-02
Listing for:
Jobtailor
Full Time
position Listed on 2026-08-02
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
- 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)
- 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.
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