
10,000+ employees
Founded 1923
📱 Media
📣 Marketing
💰 Post-IPO Debt on 2023-02
Media • Data Analytics • Marketing
Nielsen is a global measurement and data analytics company that provides audience measurement and media metrics solutions across various platforms. They offer cross-media measurement services spanning TV, digital, streaming, and audio for more precise media planning and marketing optimization. Nielsen's flagship product, Nielsen ONE, integrates these services to deliver a comprehensive view of audience habits and preferences. Additionally, they offer insights and tools for understanding consumer behavior and optimizing marketing strategies, backed by a robust data infrastructure including big data and panel methodologies. Nielsen also champions diversity and inclusion, emphasizing a culture supported by a diverse workforce and numerous business resource groups.
🔥 13 hours ago
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10,000+ employees
Founded 1923
📱 Media
📣 Marketing
💰 Post-IPO Debt on 2023-02
Media • Data Analytics • Marketing
Nielsen is a global measurement and data analytics company that provides audience measurement and media metrics solutions across various platforms. They offer cross-media measurement services spanning TV, digital, streaming, and audio for more precise media planning and marketing optimization. Nielsen's flagship product, Nielsen ONE, integrates these services to deliver a comprehensive view of audience habits and preferences. Additionally, they offer insights and tools for understanding consumer behavior and optimizing marketing strategies, backed by a robust data infrastructure including big data and panel methodologies. Nielsen also champions diversity and inclusion, emphasizing a culture supported by a diverse workforce and numerous business resource groups.
• Research, design, develop, implement and test econometric, statistical, optimization and machine learning models • Develop forecasting, modeling and code supporting PPM Wearables audience measurement production processes • Develop data pipelines, execute analyses and summarize results • Collaborate with stakeholders to provide clear data-driven solutions and recommendations • Gain expertise in PPM sampling methodology, audience measurement and panel management strategies • Query large relational databases for analyses and requests • Perform complex data analysis and visualizations using Python, Tableau, R and similar tools • Oversee, maintain and evolve data algorithms for PPM sample methodology in a time-critical production environment • Maintain and update departmental procedures, checklists and metrics • Participate in interdepartmental teams and critical projects, including requirements writing, software development and testing • Respond to internal and external client requests with data-driven solutions • Incorporate quality checks to detect and correct errors in production processing and analysis • Facilitate code reviews and promote modular code, unit tests and CI/CD workflows to ensure product quality, stability and scalability
• Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field • 3+ years of professional work experience in Statistics, Data Science, and/or related disciplines • 3+ years of experience manipulating, analyzing and interpreting complex data sources • 3+ years of experience programming in Python, PySpark and SQL for data pipeline development • 3+ years of experience with data visualization using Tableau and/or similar tools • Experience working in cloud-based environments such as AWS • Experience with DevOps tools, code management and CI/CD workflows using GitLab or similar tools • Project management ability, including prioritizing multiple assignments • Ability to communicate clearly and handle multiple competing priorities in a fast-paced environment • Readiness to explore new solutions and rapidly iterate based on customer feedback • Strategic thinking and understanding of data insights’ impact on product and business objectives • Exceptional problem-solving skills • Ability to solve problems independently and within cross-functional teams • Nice to have: working knowledge of ANOVA, Chi-squared, correlation, regression and Student t-test • Nice to have: expertise querying large datasets with SQL and working with Oracle/Netezza/Data Warehouse and Data Lake structures
• Remote work opportunity • Equal opportunities and diverse, inclusive workplace • Work on impactful media measurement projects with global teams
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