Data Analyst, Data Asset Management

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

NBCUniversal Advertising Products & Solutions (AP&S) is responsible for the product development and project management of NBCUniversal’s full advertising technology suite. From sales support to campaign execution, delivery, and billing, our division services both internal and external customers in support of NBCUniversal’s $7B+ annual advertising business. Together, we’re building the platform that powers the future of advertising at NBCU.

NBCUniversal’s Data Asset Management team is responsible for transforming raw, disparate data into trusted, consistent, and reusable assets that power decision‑making across the enterprise. As a Data Analyst, you will manicure, explore, validate, and productize data across multiple cloud platforms including GCP, AWS, Databricks, and Snowflake.

You will champion a modular approach to data delivery, balancing vendor-native capabilities (Snowflake, Databricks) with open interoperability standards (Apache Iceberg, Delta Lake). You will design efficient, cross-platform data shares to ensure that curated datasets are optimized for consumption—internally and externally—without sacrificing governance, quality, or documentation.

You’ll collaborate closely with data engineering, governance, product, analytics, and business stakeholders to create high‑quality, well‑defined data products with clear lineage, standards, and measurable value.

What You’ll Do:

Data Quality, Exploration & Understanding

• Profile, cleanse, standardize, and validate datasets to ensure high levels of trust, usability, and integrity.
• Conduct deep data exploration to uncover trends, anomalies, and quality gaps; recommend remediations and drive improvements with source‑system owners.
• Document metric definitions, KPIs, business rules, and lineage to create shared organizational understanding.

Data Productization

• Transform raw, multi‑source data into curated datasets, semantic layers, and reusable data products aligned to business needs.
• Operate across GCP, AWS, Databricks, and Snowflake, ensuring data models are performant, well‑structured, and governed.
• Support Snowflake data sharing initiatives by preparing high‑confidence, access‑controlled share‑ready assets.
• Partner with engineering to implement data contracts, SLAs, and best practices for reliability and discoverability.

Analytics, Insights & Stakeholder Partnership

• Collaborate with governance, privacy, security, and legal teams to ensure compliance with data policies and standards.
• Understand stakeholder data needs, and address those needs either through data uncovering or data acquisition.

Automation, Optimization & Governance

• Develop and optimize SQL transformations, pipelines, and data checks across cloud platforms.
• Implement enterprise data quality rules, thresholds, and automated monitoring.
• Contribute to metadata, naming conventions, and stewardship standards to create consistency and scalability.
• Ensure data assets are accessible, well‑documented, and compliant with NBCU’s governance requirements.

Qualifications

What We’re Looking For