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Home ( / Job Search ( / 238490 Mgr - Amazon Seller Insights New York, NY, New York Apply now ( Back Permanent New York New York, NY Digital Marketing Full - Time 13-Apr-2026 Job Title: Manager, Amazon Seller Insights Division: CDMO Location: Hudson Yards, NY Reports To: Director u2013 Amazon Insights Lead Who We Are: For more than a century, Lu2019Oru00e9al has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer each and every person around the world the best of beautyin terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity. At Lu2019Oru00e9al, our Digital team is an opportunity to be at the center of L'Oru00e9al's digital transformation. We are determined to be pioneers in the new beauty tech world, and by incorporating digital into everything that we do, we are creating a better relationship with our consumers. When beauty and tech collide, the impossible can happen Come join our dynamic team What You Will Do: Lu2019Oru00e9al USA is looking for a passionate, bright, and energetic digital candidate to join the Business Acceleration team. This role supports the development of enterprise analytics and tech capabilities to drive eCommerce growth. The Amazon Tech Accelerator is an advanced analytics suite built by Lu2019Oru00e9al to future-proof our retail partnerships. Launched in 2020, the tool processes 50M+ data points to turn retail inputs into actionable insights and executional excellence. As our selling models evolve, this role is critical in partnering with engineers and analytic experts to maintain and enhance best-in-class FBA/Seller Central measurement tools. We are looking for a candidate who is comfortable working with automated data sets and refining them into digestible outputs. You should be scrappy, results-oriented, and a self-starter with a track record of using analytics to support the growth of an online business. This role is multi-faceted, requiring you to draw correlations between Operations, Sales, Advertising, and Financial data to identify