At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.
Nielsen measures the media-consumption habits of homes globally. Our data paints a rich portrait of the audience in those markets we measure. As a pioneer and industry leader in audience measurement for more than half a century, we take pride in our technology and processes, and we are constantly searching for new ways to advance our culture of innovation and growth.
Our areas of expertise include researching hardware, software, quality controls and business rule changes that will improve the accuracy of our data reporting.
In this role, you will learn and become an expert in Nielsen’s Panel data, with a focus on Meter hardware and software used for data collection and crediting. You will design analysis plans, develop underlying data pipelines, execute analyses and summarize results. You will collaborate with stakeholders across Data Science, Engineering, Product and Technology teams to provide clear data-driven recommendations based on research findings.
ResponsibilitiesLearn and become an expert in Audience Measurement, with a focus on digital meter technology used for data collection and crediting. Design analysis plans, develop underlying data pipelines, execute analyses and summarize results.Identify, clean, and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses. Create simple, meaningful visualizations to help support data analysis and stakeholder communications Develop and share efficient code used for analyses.Incorporate quality checks to proactively detect and correct for errors throughout analysis. Provide clear data-driven recommendations based on research findings.Collaborate with department stakeholders (Engineering, Data Science, Technology, etc.). This includes providing status updates, developing timelines, sharing data, executing tests, presenting results, etc to ensure business needs are met.Key SkillsBachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field.3+ years of experience with the following:Manipulating, analyzing and interpreting complex data sources to tell a story from data through analysesProgramming in Python, PySpark and SQL for data pipeline development used to support analyticsTrending and visualizing data within TableauExperience working in cloud-based environments such as AWSProject management including ability to prioritize multiple assignmentsAble to communicate effectively both orally and in writingEmbraces innovation with a readiness to explore new solutions and a commitment to rapid iteration based on customer feedbackDemonstrates strategic thinking, understanding the broader impact of data insights on product and business objectives