Account Analytics Manager- CVS

What You Will Do:

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.

Core Responsibilities

Understand how to utilize available data, platforms, and reporting dashboards.(For example: Nielsen,PowerBi, Unify/CLA, STIBO, Numerator)

Understand account strategy, brand visions, and category priorities to inform broader analyses to unlock customer success.

Analyze and interpret data to present strategic recommendations around macro trends, beauty industry insights, consumer behavior, product sales performance, promotional effectiveness, planogram productivity, in-store event ROIs, online vs. offline performance, new item projections etc. to inform sales strategies.

Support customer conversation with data-driven insights. (For example: CPD Innovation Planning, Account Review, Quarterly JBP Meetings)

Effectively collaborate with cross-functional teams to support the business

Lead monthly data-driven share outs and customer deep dives to key stakeholders to influence strategy. (For example: BAL, Supply Chain, Category Development, Merchandising, E-Commerce).

Receives Input From

Account management- key customer focus areas / concerns to ensure sales analytics team has appropriate customer context

Central data- supports data and dashboard requests to enable prioritized account analyses

Retailer- guiding principles and guardrails for data analytics, category recommendations, and strategy

Provides Input to

Account management- account analytics share key insights and opportunities to support broader decision-making

Account Merchandising- partners closely with account merchandising teams to provide insight into planogram decisions (expansion/exit, tray analysis, etc.)

Central data- account analytics partners closely with central data to identify key KPIs to track and requirements for reporting dashboards

Retailer- account analytics provides on-going analytical support, key insights, and trend monitoring to influence short-term and long-term strategies

What We Are Looking For:

Minimum 3 years’ experience in a customer-facing role

Self-starter with strong analytic skill, data curiosity, and ability to create stories from data to influence internal/external stakeholders

Proven knowledge of customer and retail strategies, as well as competitors

Knowledge and curiosity to learn beauty and personal care, specifically for given category

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 As Follows:

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)

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

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!

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References

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