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Sr. Analyst - Distribution Measurement & Data Products

NBCUniversal

$75,000 - $100,000
Aug 19, 2025
New York, NY, USA
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NBCUniversal's Media Group is looking for a Senior Analyst, Distribution Measurement & Data Products to ensure data and reporting solutions for distribution partnerships are accurate, reliable, and launch-ready, enabling smarter decisions and more effective deal outcomes.

Requirements

  • Proficiency in SQL for querying and analyzing large datasets; experience with Databricks (or similar platforms) strongly preferred
  • Hands-on experience with BI tools—ideally Tableau—to build, maintain, and troubleshoot dashboards and visualizations
  • Demonstrated ability to troubleshoot data issues and follow through with thoughtful problem-solving
  • Experience working with data product or data engineering teams
  • Experience with project management, issue tracking and collaboration tools (e.g., JIRA, Confluence)
  • Build SQL queries to extract, manipulate, and validate data from large-scale data sources
  • Support reporting requirement gathering for new distribution launches

Responsibilities

  • defining and QAing performance metrics
  • building and maintaining dashboards
  • investigating data and reporting issues
  • supporting new partner integrations from a reporting and measurement perspective
  • Perform detailed data validation and QA to ensure reporting outputs are accurate, complete, and aligned with defined measurement requirements
  • Build SQL queries to extract, manipulate, and validate data from large-scale data sources
  • Collaborate with product, engineering, and analytics partners to ensure reporting reflects current data availability and business analytic needs

Other

  • Develop a deep understanding of NBCU distribution deal constructs to inform performance measurement and guide reporting needs
  • Comfort working in a fast-paced, iterative environment with multiple workstreams while maintaining a highly organized work slate
  • Excellent communication skills, particularly in explaining technical findings to non-technical stakeholders
  • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
  • Bachelor’s degree in a quantitative, technical, or analytical field (e.g., Data Science, Statistics, Economics, Computer Science)