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L’Oréal in New York seeks a data analytics professional to support account decision making by leveraging data and dashboards. You will collaborate with internal and external teams to drive categories and inform sales strategies with data-driven insights.
The role emphasizes analyzing macro trends, consumer behavior, promotional effectiveness, and planogram performance to help optimize customer outcomes within the beauty sector.
Leverage data & analytics to support account decision making and identify areas of opportunity or concern. Collaborate with both internal and external cross-functional teams to drive the categories.
Leverage data & analytics to support account decision making and identify areas of opportunity or concern. Collaborate with both internal and external cross-functional teams to drive the categories.
As an integral part of our culture at L’Oréal, wellness is at our core. We not only offer a generous Benefits Package(Medical, Dental, Vision, 401K), we also offer flexible time off, work from home days, and a pension plan! Additionally, you will have access to company perks such as Makeup, Skincare, and Fragrance! Employees receive a stipend for L'Oréal products as well as VIP Access to L'Oréal’s Internal Shop for Discounted Products, and other perks such as Monthly Mobile Allowance, discounted gym memberships, and ERGs.
Salary Range: $90,200.00 -$140,200.00 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)
Don’t meet every single requirement?At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!
We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.
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