NBCUniversal is seeking to improve its advertising technology suite and media measurement capabilities, specifically in the areas of reach, frequency, and audience measurement, to support its $7B+ annual advertising business.
Requirements
- Proficiency in Python and PySpark for data analysis and pipeline development.
- Strong SQL skills; experience with Snowflake or similar cloud data warehouses.
- Familiarity with cloud platforms (AWS, GCP) and tools like Databricks.
- Understanding of data privacy concepts and clean room technologies is a plus.
- Hands on experience with Python, PySpark, and SQL.
- Exposure to media, advertising, or digital analytics is a plus.
Responsibilities
- Design, build, and optimize data pipelines for reach, frequency, and audience measurement using PySpark and Snowflake.
- Develop and implement clean room measurement methodologies for privacy compliant audience analysis.
- Analyze media and audience datasets to identify trends, anomalies, and optimization opportunities.
- Collaborate with product, engineers and data scientists to deliver scalable solutions for advertising analytics.
- Communicate findings and recommendations to technical and nontechnical stakeholders.
- Contribute to documentation, best practices, and process improvements.
Other
- Strong analytical thinking and problem solving mindset.
- Ability to clearly communicate technical concepts to diverse audiences.
- Collaborative and proactive in a fast paced environment.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
- 1–2 years of experience in data science, analytics, or related roles.
