Data Analyst

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. 
You would pull data from Nielsen Media tools and other data assets to complete projects presented to us by clients regarding questions about their national media data. You will collaborate with other associates on the team as well as associates across Nielsen to create, analyze and deliver reports designed to provide our clients with superior insights into TV viewing. You will also be responsible for presenting those insights to clients in a clear and concise manner.

Job Responsibilities

• You will collaborate with cross functional media teams to develop custom client solutions by pulling reports out of various Nielsen’s syndicated reporting applications, compiling them as excel outputs or PowerPoint presentations.
• Develop Subject Matter Expertise in Nielsen national, local, digital and cross platform data.
• Analyze datasets and extract key highlights through client deliverables (Excel files, PowerPoint, BI tools,etc) and present those findings, both internally and externally to clients.
• Manage time across various projects to ensure timely delivery while maintaining data integrity and reliability on assigned projects.
• Participate in ongoing automation initiatives as directed, to improve efficiencies in current workflow
• Work closely with the team in the development on QA tools and BI tools to identify anomalies in the data in a proactive and inquisitive manner

Experience Required

•  Bachelor’s degree required. 
• 2-4 Years experience in Data Analysis preferred. Familiarity with formatting data and/or advanced experience with Google or Microsoft products (Excel, PowerPoint)
• Proficiency with handling large datasets and ability to manipulate it using Python or SQL is a plus.  
• Ability to visualize data through a dashboarding tool is a plus.
• Languages: English, Spanish

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