Data Product Analyst, Direct-to-Consumer

Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal, and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequaled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth, and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive. NBCUniversal is looking for highly analytical and detail-oriented Data Product Analyst to join our dynamic team. This role will contribute to the evolution of our data platform into a truly international product. Partnership with international teams and openness to the latest ideas in data technology is essential to the success of the role. As a member of the Decision Sciences team, highly analytical and detail-oriented Data Product Analyst to join our dynamic team. The ideal candidate will have a strong background in data analysis. As a Data Product Analyst, you will play a critical role in guiding product development and strategy through data-driven insights. Responsibilities include, but are not limited to: Analyze large datasets to identify trends, patterns, and insights that inform product decisions and strategies. Collaborate with product managers and stakeholders to develop data-driven strategies that enhance product performance and user experience. Monitor and analyze product performance metrics, identifying areas for improvement and suggesting actionable solutions. Conduct competitive analysis and market research to understand industry trends and inform product development. Work closely with cross-functional teams, including engineering, marketing, and sales, to ensure data-driven product development. Ensure the accuracy and integrity of data by implementing robust data governance practices.