Data Analyst

At Nielsen, we believe that career growth is a partnership. You ultimately own, drive, and determine your path. By joining our team of nearly 14,000 associates, you will become a part of a community that will help you excel. We advocate for you because your success is our success. Embark on a new project, explore innovative methods, and have the freedom to think big, so we can all continuously improve. We enable your best to shape our future. Gracenote is an entertainment data and technology provider powering the world’s premier music services, automakers, cable and satellite operators, and consumer electronics companies. At its core, Gracenote assists people in finding, discovering, and connecting with the entertainment they love. Gracenote processes 35 Billion rows of data daily and is rapidly emerging as a global leader in return path “big data.” Over the past two years, the company has grown to include more than 1,800 employees in 20 countries, with over 400 of the world’s leading engineers who have a passion for music, video, sports, and entertainment technology. We are currently seeking a Data Analyst to join our Gracenote Content operations team. The Content operations team is responsible for managing and enhancing our metadata for client use. This role will assist our organization in leveraging our vast metadata content and provide insights into our data quality. The Data Analyst will serve as an expert in measuring data quality, accessing and merging datasets for use in quality projects, and promoting proactive communication with clients regarding the health of our databases and products. Familiarity with analytical systems, data visualization, and data automation are imperative to succeeding in this role. Experience with AWS cloud services is beneficial. Responsibilities: - Collaborates with the Quality Office and cross-functional teams to develop a comprehensive understanding of Gracenote data flows and provide insights into our Video, Music, and Sports data quality for our clients. - Uses multiple tools to implement modular code and formulate data queries from multiple databases, data warehouses, and data lakes to perform data analysis, create data visualizations, and respond to clients and internal queries. - Integrates, compiles, validates, and disseminates data from numerous systems to provide feasible and data quality recommendations to stakeholders within the context of their business questions. - Analyses and validates data quality metrics and thresholds and implements quality escapes, reports, and dashboards to monitor and analyze metrics and KPIs for GN Content Document thoroughly all reporting and analysis projects. Requirements: - A BS Degree in a related field and 5+ years of experience in Data Analytics. - Strong hands-on experience with SQL, data warehousing, dashboarding, and reporting, with considerable datasets and multiple data sources data analytics experience (ability to analyze and provide insights without in-depth familiarity with dataset). - Experience in creating KPIs and using BI reporting tools (e.g., Power BI, Tableau, etc.), extensive experience with scripting languages (e.g., Python, R, Talend) with a track record of precise, efficient code design. - Excellent communication skills in spoken and written English for global collaborations. About Nielsen: As the provider of truth, Nielsen Global Media equips the media industry with unbiased, reliable data about what people view and listen to. We measure across all channels and platforms, from podcasts to streaming TV to social media. When companies and advertisers are informed by the truth, they attain a deeper understanding of their audiences and can foster growth. Do you want to advance the industry with Nielsen? Our people are the driving force. Your thoughts, ideas, and expertise can propel us into the future. Whether you have a groundbreaking idea to maximize a new technology or you identify a gap in the market, we are here to listen and take action. Our team is strengthened by a diversity of thoughts, experiences, skills, and backgrounds. You'll enjoy working with intelligent, fun, and curious colleagues who are passionate about their work. Join a team that encourages you to do your best work!