Associate Manager, Marketing Effectiveness

Key Skills

Java Programming, Python Programming, SQL, R Programming

Job Description

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

ABOUT THIS ROLE

We won’t say we can predict the future, but our team of Analysts get pretty close, they turn millions of data points into useful information & insights that help our clients to make better decisions on their marketing mix and achieve superior results. Be part of the future and join in on one of the major transformations in the market research industry with the integration of big data and classic marketing mix analysis.

RESPONSIBILITIES

• Design, develop, and deliver marketing effectiveness studies for leading global brands
• Understand clients’ business questions and objectives as well as the business context in which those clients operate
• Mentor other team members and promote Marketing Mix Modeling (MMM) best practices
• Ensure effective and timely delivery of project work
• Apply statistical modelling best practices and ensure that business insights and findings are solidly based on empirical evidence
• Ensure team’s compliance to global modeling practices and company quality standards
• Maximize the efficient and effective use of resources by utilizing appropriate processes and tools
• Build and maintain effective contacts with other departments to ensure the efficient and effective use of resources
• Take accountability and propose initiatives and follow-through

QUALIFICATIONS AND SKILLS

• 4+ years of relevant experience
• Master’s degree in Economics, Mathematics, Statistics, or Engineering
• In-depth understanding of statistical modeling techniques and applications
• Working knowledge of a statistical programming language, such as SAS, R, Python.
• Solid proficiency of decision making and problem resolution skills
• Passion for results with a challenger mind-set