JobsUSASenior Analyst, Data Science
Company : Sephora
Location : San Francisco, CA
Posted Date : 15 September 2025
Job Details
Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)
Address: FSC, Remote, CA 94105, United States (US)
Job Type: Full Time
Position Type: Regular
Job Function: Marketing
Remote Eligible: Yes
Company Overview:
At Sephora we inspire our customers, empower our teams, and help them become the best versions of themselves. We create an environment where people are valued, and differences are celebrated. Every day, our teams across the world bring to life our purpose: to expand the way the world sees beauty by empowering the Extra Ordinary in each of us. We are united by a common goal - to reimagine the future of beauty .
The Opportunity:
The Senior Analyst, Marketing Data Science, SMN, is an integral part of the Marketing Effectiveness team tasked with developing insights that enable Sephora to improve how marketing investments impact business results. You will work closely with our Retail Media Network team and brand marketing to deliver best-in-class data science to our internal and external business partners. This includes:
- Collaborating in developing highly Sephora customized Marketing Mix Modeling (MMM) projects involving specialized, nested regression models, forecasting optimization, and building dashboards and presentations to evaluate the performance of Onsite and Offsite Sephora Media Network performance
- Collaborate on day-to-day marketing effectiveness activities such as data delivery, analytics processes, interpretation of findings, insight delivery, and stakeholder alignment, with an emphasis on Marketing mix models
- Work with stakeholders to determine business needs and objectives, and then the Marketing Effectiveness team to design, develop, and complete analytical processes/solutions to derive insights that can address stakeholders' stated objectives
- Actively consult stakeholders to validate and update as needed, a defined marketing effectiveness roadmap that outlines short-term and long-term business priorities
- Support the senior director with executive engagement materials and critical business needs.
- 2-4 years' of Analytics experience
- Strong R or Python experience
- Strong SQL skills
- Paid Media marketing or analytics experience, either at a digital agency or client side.
- Knowledge of retail media network offsite (Paid Search, Display) and onsite (PLA and display) initiatives preferred
- Excellent communication skills - able to articulate findings that are not always straightforward or intuitive
- Great attention to detail, with the ability to dig deep into details while keeping focus on the primary business question at hand
- High sense of integrity and respect for others; experience working with cross-functional teams
- Ability to multi-task and prioritize workload without becoming overwhelmed
- Comfort with ambiguity; ability to thrive in an environment with rapid change
- Intellectual curiosity and willingness to accept feedback
- The people. You will be surrounded by some of the most talented leaders and teams - people you can be proud to work with.
- The learning . We invest in training and developing our teams, and you will continue evolving and building your skills through personalized career plans.
- The culture . As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global. It is in our DNA to innovate and, at Sephora, all 40,000 passionate team members across 35 markets and 3,000+ stores, are united by a common goal - to reimagine the future of beauty.
Sephora is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Sephora is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Sephora will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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