Bachelor's degree or equivalent practical experience.
10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synchronous and asynchronous system integration and implementation using internal and external stacks.
3 years of experience in a people management, supervision, or team leadership role.
Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or a scripting/programming language (e.g., Python).
Preferred qualifications:
Experience working with advanced analytics solutions involving machine learning and statistical analytics.
Experience supporting client-side media and marketing data science.
Understanding of incrementality measurement methodologies and frameworks.
Ability to operate in a fluid, constantly evolving and collaborative environment.