Beauty Account Analytics Manager – Data-Driven Insights (Hybrid)

L'Oréal

New York (NY)

Hybrid

USD 90,000 - 120,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work policy
Medical, Dental, Vision
401K and Pension Plan
VIP access to L’Oréal Shop
Monthly mobile allowance

Job summary

L’Oréal is seeking an Account Analytics Manager (Cosmetics) in Chicago to leverage data and analytics to support account decision making and identify opportunities. You will collaborate with cross-functional teams to drive category insights and improve sales performance.

The role requires 3+ years in customer-facing analytics, strong data storytelling, and experience with tools like Power BI and Nielsen. Hybrid work, competitive benefits, and a chance to influence retail strategy are offered.

Qualifications

  • Minimum 3 years’ experience in a customer-facing role.
  • Strong analytical skills and ability to turn data into stories that influence stakeholders.
  • Knowledge of customer and retail strategies, and competitive landscape.
  • Interest in beauty and personal care category.
  • Presence in the office three days a week is required for office-based roles.

Responsibilities

  • Leverage data and analytics to support account decision making and identify opportunities or concerns.
  • Collaborate with cross-functional teams to drive category insights.
  • Analyze and interpret data to inform sales strategies and promotional effectiveness.
  • Support customer conversations with data-driven insights during reviews and plans.
  • Lead data-driven share outs and deep-dives to influence strategy.

Skills

Data analytics
Storytelling with data
Cross-functional collaboration
Stakeholder influence
Retail analytics

Tools

Power BI
Nielsen
Unify/CLA
Numerator
STIBO

Job description

L’Oréal is seeking an Account Analytics Manager (Cosmetics) in Chicago to leverage data and analytics to support account decision making and identify opportunities. You will collaborate with cross-functional teams to drive category insights and improve sales performance.

The role requires 3+ years in customer-facing analytics, strong data storytelling, and experience with tools like Power BI and Nielsen. Hybrid work, competitive benefits, and a chance to influence retail strategy are offered.

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