L'Oréal is hiring: Director, Media Measurement & Analytics in New York

Job Title Director, Media Measurement and Analytics

Division: L’Oréal Dermatological Beauty

Location: New York, NY (Hudson Yards – USA HQ)

Reports To: Divisional Media Lead, LDB

Company Overview

For more than a century, L’Oréal 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 beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity. At L’Oréal Dermatological Beauty, our mission is to help everyone in their quest for healthy and beautiful skin. Our division is the world leader in dermo‑cosmetics by adding health to beauty. Our brands portfolio includes CeraVe, La Roche‑Posay, Vichy, SkinCeuticals and Skinbetter Science offering a range of skincare products to respond to all expectations linked to beauty and health of the skin.

Description

The Director of Measurement and Analytics will be someone who is passionate about research and analytics. This candidate will be responsible for supporting the business in collaborating with the brands, agencies, and vendors to help the division with various learning agendas and to find solutions for measuring the impact of media on business objectives. This position requires an individual to think strategically and to problem solve while paying meticulous attention to detail. The candidate must be someone who loves data, shows curiosity about the “why” and is hungry to learn. The role will report into the divisional head of media, but will work closely with their corporate counterparts on implementing best practices from global and US teams.

Key Accountabilities

• Use predictive and statistical modeling techniques to solve challenges, uncover opportunities and develop solutions for brand business.
• Leverage analytical framework to analyze disparate datasets to identify inconsistencies and improve data collection.
• Own data reconciliation project, collaborating with cross functional teams between media, agency, and marketing to ensure billing is properly aligned.
• Partner with measurement lead to track all brand lift studies and sales lift studies to help craft holistic overview of performance.
• Constantly look for ways to improve the usage of L’Oreal’s existing data and analytics infrastructure.
• Maintain collaboration with third party measurement partners (e.g., Nielsen, NCS, Ekimetrics, Kantar Millward Brown, etc.).
• Collaborate with company’s media AOR and their advanced analytics team.
• Use automation and technology to increase efficiency and to provide the infrastructure to scale.
• Establish and maintain excellent working relationship with key functional areas.
• Act as a liaison between the analytics team and the internal brand, activation and operational areas (including demand planning).
• Seek out key decision makers, challenge the status quo and consult decisions.
• Foster and cultivate vendor relationships.
• Monthly budget reconciliation with brands, agencies, and finance controllers to help facilitate spend inputs into annual MMM projects.

Preferred Skills

• Experience in the Advanced Analytics realm, preferably in media, marketing or an adjacent field.
• Advanced statistical modeling experience (e.g., regression modeling/predictive modeling/inferential statistics) required.
• Specific marketing response modeling expertise such as MMM, a plus.
• Experience in building geo experiments to help measure the impact of media on offline sales.
• Cross functional skills – can explore business view and work with them to develop mutually owned solutions.
• Can solve problems in complex situations using creative and conceptual reasoning.
• Strong verbal communication skills, extremely well‑organized.
• Communicate complex ads measurement and research results to a general audience.
• Proactive individual with strong problem‑solving skills and an entrepreneurial spirit.
• Hands‑on programming/scripting experience (R, Python, SQL) preferred.
• Exposure to large data sets (“big data”) and analysis thereof, a major plus.

Education & Experience

• BA/BS in Statistics, Mathematics, Business, or Economics, etc.
• 8‑10 years relevant industry experience.
• Brand, retailer, research vendor, or digital agency experience a plus.
• CPG experience a plus.

Benefits

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.

Additional Benefits Information

• Salary Range: $138,500 - $200,800 (The actual compensation will depend on a variety of job‑related factors which may include geographic location, work experience, education, and skill level)
• Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)
• Hybrid Work Policy (3 Days in Office, 2 Days Work from Home)
• Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)
• Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance)
• Learning & Development Opportunities (Unlimited Access to E‑learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)
• Employee Resource Groups (Think Tanks and Innovation Squads)
• Access to Mental Health & Wellness Programs

Diversity & Inclusion Statement

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.