Manager, Business Intelligence & Analytics, Merchandising

Sephora•Remo, VA

1d•$139,500 - $172,000•Remote

About The Position

At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful. As a Manager of Business Intelligence and Analytics, you’ll be providing thought leadership and strategic insights to optimize store planning and merchandising initiatives. The work you do will impact beauty, as you translate complex data into actionable strategies that shape our retail store spaces and enhance business performance. You’ll be part of a team that’s united in beauty, supported by those who are equally passionate about uncovering business drivers and driving strategic, data-backed decisions.

Requirements

5+ years of professional experience in analytics or data science, generating actionable insights through data mining and analysis of large-scale, complex datasets.
Fluency in the core analytics toolkit, including intermediate experience with data mining and writing queries, advanced Excel skills (building models and advanced calculations), and intermediate-to-advanced PowerPoint and data visualization skills.
An entrepreneurial mindset and creative problem-solving capabilities to strategically tackle ambiguous business questions and manage multiple projects simultaneously.
Strong communication skills with the ability to distill complex topics into simple, compelling narratives, and comfort engaging and influencing senior executives up to the Vice President level and beyond.
A high degree of initiative, autonomy, and optimism, with proven success in building collaborative cross-functional partnerships across an organization.

Responsibilities

Drive monthly store planning and productivity reporting by answering complex business questions and enhancing executive-level reports.
Support store planning and merchandise operations initiatives, including advising on rollout plans for new brands, creating store segments, and optimizing product placement in stores.
Support the evaluation and deployment of new space planning software to improve space optimization and ensure seamless integration with our core data systems.
Support monthly merchandising and weekly operational performance reviews to track key metrics and strategic goals.