Nielsen is a 10,000+ person public company operating audience measurement and analytics infrastructure across 55+ countries. The tech stack reflects a mature, data-heavy org: Kafka and Spark for streaming pipelines, Hadoop/Hive for batch processing, MongoDB and DynamoDB for flexible storage, and Tableau for analytics consumption. The hiring surge (135 roles posted in the last 30 days, accelerating) concentrates in sales (70 open) and data (54 open), paired with active projects around streaming pipeline development (Flink, Kafka, Kinesis) and Gracenote platform work—indicating a push to modernize legacy measurement infrastructure while expanding into streaming and direct-to-client adoption.
Notable leadership hires: Sales Director, Lead Engineer, Demand Generation Director, Social Media Director, SAP Analytics Cloud Lead
Nielsen provides global audience measurement, data insights, and analytics to media companies, broadcasters, streaming platforms, advertisers, and agencies. The company operates across television, radio, online, music, video games, sports, and streaming—collecting behavioral data across channels to produce audience reports and commercial intelligence. With operations spanning 55+ countries and a workforce exceeding 10,000, Nielsen maintains both traditional broadcast measurement capabilities and emerging platforms like Nielsen One and Gracenote (a metadata and content recognition business). Active work includes streaming pipeline modernization, cross-system data integration, and commercial strategy execution across vertical markets.
Kafka, Hadoop, Hive, Spark, Scala, Python for data pipelines; MongoDB, DynamoDB, MySQL for storage; Tableau for analytics; Salesforce and ServiceNow for business systems; AWS, Kubernetes, Docker for infrastructure.
Streaming pipeline development (Flink, Kafka, Kinesis), Gracenote data platform expansion, Nielsen One adoption, cross-system data integration, legacy pipeline optimization, survey tool integration, and metadata software solutions for TV entertainment data.
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