Associate Director, Advanced Analytics

Adelphi GroupNew York, NY
$70,000 - $135,000Hybrid

About The Position

Beauty Co-Lab (BCL) is a bespoke Omnicom Media Group unit for L’Oréal USA delivering an industry-leading agency solution that drives business growth and transformation. At Beauty Co-Lab, our mission is to co-create what's next, and our team possesses modern media, commerce, and analytical skillsets to keep pace with the rapidly changing ecosystem. We are passionate about beauty, media, data, and technology. With deep expertise in data and technology, we design audience-first, full-funnel, and omni-channel strategies to achieve L'Oréal's mission: Create the Beauty that moves the world. The Advanced Analytics team is pivotal to delivering marketing science in the modern agency. Tightly integrated within BCL and L’Oréal, we collaborate across strategy, investment, and brand teams to deliver cutting-edge solutions that blend scientific rigor with commercial applicability.

Requirements

  • University degree in a quantitative field like Statistics, Math, Physics, Economics, Computer Science, or Engineering with 5+ years of experience (advanced degree preferred).
  • Professional background in a media agency, in-house marketing team, or management consulting firm (strongly preferred).
  • 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.
  • Insatiable appetite for learning, thrive in a fast-paced environment, and bring a positive attitude to any circumstance.
  • Value culture and creating a fun environment where intellectual curiosity thrives.
  • Be a team player.
  • Balance collaboration with conviction.
  • Know when to challenge the norm and when to "disagree and commit."
  • Love analytics!

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).
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