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Senior Analytics Engineer

NBCUniversal LogoNBCUniversal
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Salary

$130,000 - $170,000

Location

New York, NY. This position has been designated as hybrid, generally contributing from the office a minimum of three days per week out of our NYC offices.

NBCUniversal Advertising Platforms & Operations (AP&O) is responsible for the product development, project management, and day-to-day operations of NBCUniversal’s full advertising technology suite. From product management to program management to sales operations, our division services both internal and external customers in support of NBCUniversal’s $10B+ annual advertising business.

Together, we’re building the platform that powers the future of advertising at NBCU.

The Business Intelligence & Analytics team within AP&O leverages data to empower business customers with actionable insights that drive performance and decision-making. We are currently seeking a Senior Analytics Engineer to manage design and implementation of scalable data solutions, empowering stakeholders across Sales, Operations, Finance, and Strategy with data analytics solutions.

Reporting to the Senior Director, BI & Analytics, you will:

  • Lead the design, development, and maintenance of analytical reporting ETL pipelines and front-end interfaces (e.g., dashboards) using SQL, Python, Snowflake, and pipeline management tools.
  • Oversee QA and UAT processes, ensuring data quality and solution effectiveness.
  • Provide training and ongoing support to data users, enabling effective utilization of data solutions.
  • Collaborate on the development of advanced analytics prototypes to drive strategic initiatives and business outcomes.
  • Maintain comprehensive documentation for scalability and knowledge transfer.

Qualifications

  • Experience & Education
  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, or a related field with 4+ years of experience in data analytics, BI, or data pipeline development.
  • OR
  • Master’s degree in a related field with 2+ years of experience and a strong analytics portfolio, demonstrating technical skills and stakeholder management.
  • Technical Skills
  • Strong understanding of Data Modeling, Data Architecture, ETL, and Data Warehouse methodologies.
  • Experience with Python for data manipulation or a demonstrated ability to learn quickly.
  • Proficiency in BI tools such as Tableau, Looker, or MicroStrategy.
  • Familiarity with data integration tools like dbt or FiveTran.
  • Collaboration & Problem-Solving
  • Proven ability to effectively communicate complex data concepts to technical and non-technical stakeholders.
  • Strong documentation and knowledge-sharing approach to ensure scalability.
  • Experience working in cross-functional teams, driving alignment between business and data teams.
  • Ability to navigate fast-paced environments, prioritize tasks, and drive solutions.

Preferred Qualifications:

  • Experience working in a media company, specifically within advertising sales.

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