Analytics Engineer

NBCUniversalNew York, NY
$110,000 - $135,000Remote

About The Position

NBCUniversal Advertising Products & Solutions (AP&S) 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 team within AP&S leverages data to empower business customers with actionable insights that drive performance and decision-making. We are currently seeking an Analytics Engineer to support the design and implementation of scalable data solutions, empowering stakeholders across Sales, Operations, Finance, and Strategy with data analytics solutions.

Requirements

  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science or a related field.
  • 1+ years of experience in data analytics, BI, or related fields, including data pipeline development.
  • Knowledge of Data Modeling, Data Architecture, ETL, and Data Warehouse methodologies.
  • Experience with SQL 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 Dataiku or dbt.

Nice To Haves

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

Responsibilities

  • Assist in the design, development, and maintenance of analytical reporting ETL pipelines and related front-end interfaces (e.g., dashboards), leveraging data languages such as SQL and Python, and platforms such as Snowflake and pipeline management tools.
  • Contribute to the development and execution of QA and UAT protocols, proactively identifying and resolving data quality issues to ensure solutions perform effectively.
  • Support training and ongoing support to data users, enabling them to effectively utilize data solutions and tools.
  • Collaborate on the development of advanced analytics prototypes to drive strategic initiatives and business outcomes.
  • Maintain comprehensive documentation to support scalability and knowledge transfer across the organization.

Benefits

  • medical, dental and vision insurance
  • 401(k)
  • paid leave
  • tuition reimbursement
  • a variety of other discounts and perks
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