- Location
- San Francisco California USA
- Employment
- Full-time
- Seniority
- Senior
- Compensation
- $117,895–131,765/year
- Department
- E-Commerce, Digital & Data Analytics
- Posted
- Nov 11, 2026
About Sephora
Sephora is a global prestige beauty leader, renowned for redefining the retail experience through creativity, inclusivity, and expert service. Founded in France and now part of LVMH, the company brings together an exceptional portfolio of beauty brands with a distinctive culture of discovery and innovation. As an employer, Sephora offers a dynamic, customer-centered environment where talent is encouraged to learn, experiment, and grow across retail, digital, merchandising, operations, and corporate functions. Its teams are united by a passion for beauty, entrepreneurship, and belonging, making Sephora a compelling workplace for professionals seeking impact within a fast-moving international brand.
Sephora seeks a Senior Media Analytics Analyst to lead measurement, reporting, and insights for its retail media business, translating onsite and offsite performance into recommendations for Sephora and its brand partners. The role uses analytics platforms, SQL, Python or R, and approved AI and machine-learning tools to support campaign measurement, optimization, and business decisions. This is a permanent, full-time hybrid position in San Francisco; target pay is $117,895–$131,765 annually, with actual pay dependent on qualifications, experience, skills, education, certifications, business factors, and geographic location.
Role & Responsibilities
- Develop and apply methodologies to measure incrementality, omnichannel impact, new-customer acquisition, audience performance, promotional effects, and media contribution.
- Apply foundational media mix modeling (MMM) concepts and retail media network (RMN) knowledge to support channel contribution analysis, budget-allocation insights, and cross-channel measurement recommendations.
- Use approved AI and machine-learning capabilities for data exploration, anomaly detection, insight synthesis, forecasting, documentation, and initial analytical storytelling.
- Develop reusable AI-assisted workflows, prompts, agents, or analytical tools to reduce manual effort while retaining human review and business judgment.
- Own recurring onsite and offsite reporting, including ROAS, revenue and spend trends, new-to-brand performance, campaign hindsight, and executive business updates.
- Translate performance into commercially relevant narratives and recommendations for Brand Marketing, Media, Finance, leadership, and brand partners.
- Build repeatable quality-assurance processes to reconcile platform, API, dashboard, finance, and source-of-truth data before distributing insights.
- Partner with cross-functional teams, translating stakeholder priorities into business questions, analytical requirements, and actionable deliverables.
- Present findings and recommendations to business partners and leadership to inform campaign optimization, investment, and reporting decisions.
- Champion process improvements, documentation of shared ways of working, and self-service adoption of analytical best practices.
Qualifications
- Experience in marketing analytics, retail media, paid media measurement, business intelligence, data science, or a related field.
- Strong SQL skills and working knowledge of Python or R; experience with Databricks, Adobe Analytics, Google Analytics, or comparable analytics platforms.
- Experience building dashboards and data visualizations and translating complex findings into concise, decision-ready stories.
- Understanding of ROAS, attribution, incrementality, new-to-brand measurement, forecasting, campaign optimization, and foundational media mix modeling (MMM) concepts.
- Familiarity with retail media networks (RMNs), including onsite and offsite media ecosystems, common ad products, and measurement approaches.
- Hands-on fluency with enterprise-approved generative AI or machine-learning tools for analysis, automation, documentation, or insight generation.
- Ability to validate AI-generated outputs, identify errors or bias, protect confidential data, and apply responsible-AI and data-governance standards.
- Strong problem-solving, quality-assurance, communication, stakeholder-management, and project-management skills.
Skills
Experience
2–4 years in marketing analytics, retail media, paid media measurement, business intelligence, data science, or a related field.
Workplace
The successful candidate will be located in San Francisco, California, USA.
Explore jobs in California or in the USA.
Compensation
The base compensation for this position ranges from USD 117,895 to USD 131,765 per annum.
Benefits
May be eligible for bonuses; medical, dental, and vision coverage; disability and life insurance; 401(k) with 4% match; FSA and HSA programs; student debt retirement plan with qualifying student loan payments eligible for the 401(k) match; PTO, flexibility, and protected leave; training, development, and tuition reimbursement; 30% discount on merchandise and services; free products or gratis and flash sale discounts on LVMH brand products; free mental health and financial coaching through Modern Health and Financial Finesse, with 24/7 access; volunteer and donation matching.
Culture
Sephora fosters a dynamic, inclusive workplace where creativity, curiosity, and a passion for beauty are encouraged at every level. As an employer, it is distinguished by its focus on empowerment, continuous learning, and a collaborative retail culture that celebrates individuality and client-centric innovation.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.