Company Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients.
We are seeking an experienced leader with strong expertise in statistics, mathematics, econometrics, or a related field.
Ideally, experience with consumer panel data to revolutionize the way we measure consumer behavior both online and in-store.
About the Role Collaborative Environment: Work in and manage an international team in a flexible and supportive setting.
Methodology Enhancement: Evaluate and improve current methodologies, especially the consumer projection and our analytical models.
Research and Analysis: Lead and define the R&D for the Consumer product's core methods.
Present and communicate findings and recommendations based on rigorous research and analysis to peers and senior stakeholders.
Innovative Solutions: You and your team develop prototypes of new solutions and methodologies to address challenges in a dynamic market environment.
Coordination: Coordinate efforts across multiple teams and stakeholders.
Qualifications Ideally, you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics.
You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights.
Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage.
You should have experience in leading a team of experts.
Educational Background and Experience: Master's Degree or PhD in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 5 years of relevant experience with at least 2 years of managing a team.
Statistical Expertise: Strong statistical and logical skills, with experience in outlier validation, sampling, bias reduction, indirect estimation, or data aggregation techniques.
Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowd-sourced panels.
Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets.
Programming Proficiency: Strong experience with Python or another high-level programming language, with a willingness to learn Python.
Continuous Learning: Eagerness to adopt and develop evolving technologies and tools.
Curiosity to follow the newest research in the relevant fields and transfer to our products and business processes; potentially collaboratewith academia.
Communication and Collaboration: Strong communication, writing, and collaboration skills (English).
Additional Information: Hybrid mode.
1 day a week at the office.
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