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The Bilingual Field Sales Representative conducts in-person interviews in selected homes, persuades households to participate in Nielsen research, and manages a non-traditional work schedule. Responsibilities include traveling within a designated territory and meeting individual performance metrics.

As a Field Sales Representative, you will conduct in-person interviews in panelist homes, approach selected households to encourage participation in Nielsen research, and meet performance metrics while managing a non-traditional schedule that includes travel and evening or weekend work.

As an Analytics Engineer at Gracenote, you will develop BI solutions, maintain data models, create dashboards, and drive user experience. You will engage with stakeholders, translate business requirements into technical specifications, and build documentation for BI tools and training.

The Sr. Staff Data Engineer will design and implement data systems for audience engagement analysis. Responsibilities include architecting identity data products, conducting architectural reviews, developing data pipelines, and mentoring team members on data engineering practices.

The Sr Treasury Consultant at Nielsen leads SAP Treasury transformation and technology initiatives. Responsibilities include implementing SAP Treasury and Risk Management solutions, optimizing processes, developing transformation strategies, and providing innovative consulting solutions. The role requires experience in transaction management and the integration of SAP with trading platforms and market data feeds, along with client interactions and training for users.

As a Sr. Software Engineer, you will develop robust APIs, manage scalable cloud systems, optimize applications, and collaborate with frontend developers. Your responsibilities include writing tests, automating tasks, and communicating with various stakeholders to align on technology roadmap decisions.

The Senior DevOps Engineer at Nielsen will implement technical solutions involving open source software and cloud technologies, focusing on cost optimization, security enhancements, and mentoring team members. They will work with vast datasets, manage compute and storage, and contribute to the overall platform efficiency.