Primary responsibilities include writing and debugging scripts in Python, R, and SQL to manipulate and analyze data, handling missing or inconsistent data using statistical techniques, conducting statistical analyses to uncover trends and patterns, preparing reports and visualizations, testing machine learning models, and collaborating with teams to execute analytical tasks.
The ideal candidate will have strong proficiency in programming languages like Python, R, and SQL, a basic understanding of statistical methods, familiarity with data visualization tools, excellent problem-solving skills, willingness to learn new technologies, and the ability to work with cloud-based platforms like AWS or Azure.
NielsenIQ offers a comprehensive benefits package including a flexible working environment, volunteer time off, LinkedIn Learning opportunities, and an Employee Assistance Program. The company is committed to diversity, equity, and inclusion, providing a supportive work environment with opportunities for professional growth in a global consumer intelligence organization.
