Associate Director, Advanced Analytics

Omnicom Media’s Beauty Co-Lab unit delivers media, commerce, and analytics solutions for L’Oréal USA. The Associate Director, Advanced Analytics advances marketing science by developing causal experimentation and statistical frameworks and supporting media strategy, measurement, optimization, and marketing mix modeling.

Responsibilities

• Build causal experimentation models to advance L’Oréal’s learning agenda
• Co-develop best-in-class statistical learning techniques with the L’Oréal Advanced Analytics team to solve complex media challenges
• Partner with Planning & Investment teams to provide both hands-on and strategic analytics support across the entire campaign lifecycle
• Demonstrate excellent project management skills, with the ability to set goals, meet deadlines, and act with a strong sense of urgency without compromising executional excellence
• Develop the Advanced Analytics practice knowledge repository and provide guidance to junior members of the team to support the vision
• Elevate the current analytics methodology by building replicable statistical frameworks that adhere to scientific rigor while maintaining commercial applicability
• Provide support in media strategy, measurement, and optimization requiring expertise in advanced analytics work, with a special focus on marketing mix models (MMMs)

Skills

• University degree in a quantitative field like Statistics, Math, Physics, Economics, Computer Science, or Engineering with 5+ years of experience
• Experience applying advanced analytics within a media environment to solve business problems, including proficiency in coding (e.g., Python, R, SQL), querying databases, and statistical analysis
• Deep understanding of Bayesian approaches, causal experimentation, media mix modeling, and their commercial application
• Advanced degree
• Professional background in a media agency, in-house marketing team, or management consulting firm (strongly preferred)

Company Overview

Company H1B Sponsorship