NBCUniversal
media and entertainment
SrBusinessSolutionsDataAnalyst
“Sr Business Solutions Data Analyst at NBCUniversal. Skills: Data Analytics, Business Intelligence, SQL, BI platforms, data visualization, enterprise data platforms, analytical frameworks, reporting solutions, data storytelling. Perform in-depth analysis across Universal Entertainment business areas, including Marketing, Global Data Strategy, and Business Development, to generate actionable insights that support data-driven decision-making. Translate business questions and stakeholder requirement”
What You'll Achieve.
advancing the growth, adoption, and effective use of data as a strategic capability; deliver scalable analytics solutions that drive strategic decision-making across Universal Entertainment
Industry & Context.
analytical and problem-solving skills with the ability to translate complex data into actionable insights
external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision, Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of four days per week.
What They're Looking For.
Must Have
Bachelor's degree in computer science, statistics, data analytics or related field (or equivalent experience), 5+ years of experience in data analytics, business intelligence or analytics-focused roles, Advanced proficiency in SQL for complex querying, data validation, and analysis, experience working with enterprise data platforms and analytics tools, Experience translating business requirements into analytical frameworks and reporting solutions, Experience analyzing and validating marketing, audience, or digital performance datasets, Experience with BI and data visualization tools (Tableau, Power BI, or Looker), Experience working with large datasets across multiple data sources and systems, analytical and problem-solving skills with the ability to translate complex data into actionable insights, Experience working in cross-functional teams involving marketing partners, data engineers, and technology teams, Excellent communication skills with the ability to explain analytical findings to non-technical audiences, Ability to manage analytics work independently across multiple initiatives in a fast-paced environment
Nice to Have
Experience working in the global Media & Entertainment industry, Understanding of the Film, TV, and Streaming landscape, including digital marketing and consumer behavior trends, Experience in the following data platforms and technologies: BigQuery, Snowflake, Vertex AI, Cloud Composer, BigQuery ML, AutoML AWS, S3, Python and SQL, Experience in television networks, television studios, and streaming a plus, Experience supporting large-scale analytics programs or enterprise analytics initiatives, Demonstrated ability to adopt new technologies quickly and articulate their business value, Proactive, self-directed work style with initiative and the ability to manage work independently
What You'll Do.
Perform in-depth analysis across Universal Entertainment business areas
and Business Development
to generate actionable insights that support data-driven decision-making
Translate business questions and stakeholder requirements into analytical frameworks and scalable reporting solutions aligned with enterprise analytics strategy and roadmap priorities
and maintain dashboards and self-service analytics tools using BI platforms such as Tableau
Partner with Engineering and Enterprise data teams to support data pipelines
and analytics readiness across initiatives
Write advanced SQL queries to extract
and analyze large datasets across enterprise data platforms
Support the implementation
and enterprise adoption of analytics solutions
Communicate insights clearly through data storytelling
and stakeholder presentations
Contribute to advanced analytics initiatives
including audience insights
and ML/AI-enabled use cases
How You'll Work.
Team & Collaboration
Partner closely with business stakeholders and enterprise data engineering teams; Partner with Engineering and Enterprise data teams; Experience working in cross-functional teams involving marketing partners, data engineers, and technology teams
Communication Scope
Excellent communication skills with the ability to explain analytical findings to non-technical audiences; Communicate insights clearly through data storytelling, visualization, and stakeholder presentations
Process & Methodology
Ability to manage analytics work independently across multiple initiatives in a fast-paced environment
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