Responsibilities: + Deliver complex analytics projects, providing data-driven insights to address critical business challenges by analyzing disaggregated data utilizing modeling, statistics, and machine learning. + Work with diverse data sets to clean, manipulate, and analyze data using tools such as R, Python, and SQL + Apply a range of statistical techniques and modeling processes to transactional and attitudinal data to help answer our clients’ business questions + Develop expertise in all our analytical solutions, understanding their technical intricacies and their value to clients + Share analytical best practices and insights across teams to foster alignment and continuous improvement and development of advanced analytical techniques + Simplify and explain complex analytical concepts in a clear and concise manner, tailoring explanations to different audiences + Support the continuous improvement and development of our advanced analytical techniques and how we run them + Act as an analytical expert on projects, providing advice internally to ensure that our approaches and outputs remain best-in-class Requirements: + Education: A university degree in a mathematical, scientific, or related discipline with a strong statistical component. A higher degree in a relevant field is preferred but not required + Technical Skills: Proficiency in R and Git is essential. Knowledge of SAS, SQL, Python and Shiny are desirable. + Analytical Mindset: Strong interest in understanding consumer behaviour and how brands can grow through data-driven insights. Strong analytical thinking ability + Data Handling: Hands-on experience in working with large datasets, performing statistical analyses, running machine learning models, and visualizing results using the R ecosystem + Industry Knowledge: Experience working with panel or survey data is an advantage but not mandatory + Experience working with relevant modeling techniques – clustering techniques, regression, probability modeling, and others + Highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments + Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions + Critical thinking and genuine passion for consumer behaviour. + Possesses outstanding communication and interpersonal skills to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner + Fluency in spoken and written English is mandatory.