ob ID: 288879
Location Name: CA-FSC SF Off (0174)
Address: 350 Mission St, 20th Floor, San Francisco, CA 94105, United States (US)
Job Type: Full Time
Position Type: Regular
Job Function: Business Strategy & Innovation
Work Location: Hybrid- San Francisco
Belong to Something Beautiful
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.
Your Role at Sephora:
Ready for a career glow up? As the Analyst, Business Intelligence & Analytics, Sales Planning & Performance, you’ll help drive data-informed decision making across Sephora’s North America business by delivering impactful reporting, forecasting, and business insights. The work you do will impact beauty, as you analyze business performance trends across both Brick & Mortar and Dotcom channels to help leadership make strategic decisions that shape the client experience and overall business growth.
You’ll be part of a highly collaborative Business Intelligence & Analytics team that’s united in beauty, supported by those who are equally passionate about storytelling through data, uncovering actionable insights, and driving business performance through analytics and innovation.
What You’ll Do:
- Analyze and synthesize large, complex datasets to uncover trends, risks, and opportunities across Sephora’s North America business.
- Deliver clear, concise, and visually compelling reports, dashboards, and presentations for executive leadership and key business stakeholders.
- Partner cross-functionally with Finance, Digital, Merchandising, Retail, and LVMH stakeholders to support strategic initiatives and business planning.
- Develop and maintain dashboards and business intelligence tools that provide visibility into sales performance and operational metrics.
- Optimize and maintain reporting processes, analytical tools, SQL queries, and data workflows to improve efficiency and data accuracy.
- Support forecasting initiatives and ad hoc analyses that influence business strategy and performance planning.
- Translate complex analytical findings into actionable recommendations for both technical and non-technical audiences.
- Identify opportunities to improve reporting automation, scalability, and data governance practices.
- Utilize advanced analytics techniques and business intelligence tools to monitor KPIs and support decision making.
- Contribute to a culture of