Senior Manager, Product Development, Amazon Seller Insights

Job Title: Sr. Product Development Manager – Seller Insights, Amazon Analytics Accelerator

Department: Corporate Digital Marketing Office

Location: New York, NY

Reports into: Director – Amazon Advanced Analytics

Who We Are

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.

CDMO: The Corporate Digital and Marketing Office mission is to put the consumer at the heart of L’Oréal’s business and drive digital innovation. As a force for L’Oréal’s innovation, CDMO delivers the best consumer experiences, drives new marketing models, and spearheads new digital capabilities to futureproof the group’s business.

What You Will Do

L’Oréal USA is looking for a passionate, bright, and energetic digital candidate to join the Business Acceleration team, to develop enterprise analytics and tech capabilities to support rapid growth. Amazon Tech Accelerator is an advanced analytics capability that L’Oréal has built to drive ecommerce growth and future proof our business. Launched in 2020, The tool combines 50M+ data points to measure all the eCommerce inputs of our retail partners to bring insights to action and drive executional excellence.

As our selling models evolve, so does the breadth of data we access and manage to drive the business. This role is responsible for partnering with our team of engineers and analytic experts in the development of best-in-class FBA/Seller Central performance measurement and visualization tools that drive day to day success of the 3P Amazon business as well as unlock incremental insights that creates a competitive advantage. The ideal candidate will have a background in a quantitative field, backed by an experience in working with massive, automated data sets and refining them into digestible outputs to answer the question “are we doing it right?”. Should be scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of an online business. Role will be multi-faceted drawing correlations between Operations, Sales, Advertising, and financial data to identify opportunity and create a roadmap for quick wins and for future needs. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables.

What You Will Do

• Exploratory Analysis (Identifying long term trends and competitive benchmarks) that the teams managing L’Oréal FBA brands can use to optimize supply chain, sales, & advertising performance.
• Become a functional expert on challenges of running an FBA business at scale and identify what analytic capabilities & product features need to be built to support.
• Work directly with Supply Chain, Sales, and Finance teams to ensure successful onboarding of new brands data sources and integrity of existing reporting pipelines
• Identify blue sky opportunities to support the strategic needs and day to day of running an Amazon FBA business via new capabilities, automation, third party vendors, and other initiatives then build business case for exploration and execution.
• Take ownership of building, creating, and testing product enhancements/reporting across all FBA elements of the business

What We Are Looking For

• Proactive and results oriented thinker who would flourish in an entrepreneurial environment where new ideas are championed.
• Ability to write SQL and manipulating large data sets in a database is a plus.
• Experience directly managing or supporting an Amazon business ran via FBA is a plus
• 6+ years of industry experience in data analysis. Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases.
• Proven problem-solving skills, project management skills, and the ability to deal with ambiguity. Excited to learn new technologies and analytical methodologies relating to business intelligence and data analysis
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
• Educational background in a quantitative field such as Mathematics, Statistics, Business Analytics, Economics, Finance.
• Experience working with data visualization tools and creating data visualization concepts. (Excel, Tableau, Microsoft Power Bi, Looker or similar)

What’s In It For You

• Hybrid Work Policy (3 Days in Office, 2 Days Work from Home) [*please keep only if applicable*]
• Employee Resource Groups (Think Tanks and Innovation Squads)
• Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)
• Salary Range: 117,300 -$164,200
• 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!)
• Access to Mental Health & Wellness Programs

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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