ABOUT NIELSEN
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
JOB SUMMARY
This role is part of the Advanced Analytics team responsible for supporting data needs across the Commercial Product Sales unit. Requires deep knowledge of Python, SQL, and cloud platforms (AWS or GCP) to build and manage data pipelines. The ideal candidate will be someone with a strong understanding of AI prompting techniques for driving efficient and accurate results is crucial. Having expertise into data visualization with the ability to translate complex large dataset into clear, concise actionable insights is desired. Creativity, problem-solving skills, and a collaborative spirit are essential for this role. You will need to be a critical thinker, able to identify roadblocks and proactively propose solutions. A passion for data exploration, AI, and a commitment to continuous learning are key.
ROLES & RESPONSIBILITIES
QUALIFICATIONS
ABOUT TEAM
Nielsen offers the world's most comprehensive measurement of media behavior. Our data engineers leverage the best data assets and cutting-edge AI tools to build and maintain scalable data pipelines for analysis of the complex media landscape. We help the world's biggest brands make faster, data-driven decisions about their advertising and marketing strategies. As a Data Engineer with AI and visualization expertise, you will be responsible for designing, building, and maintaining high-performance data pipelines, leveraging your deep understanding of AI prompting techniques and creating compelling visualizations in Tableau, bringing it all together to deliver insightful analyses to stakeholders.