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 ExtraOrdinary in each of us.
We are united by a common goal - to reimagine the future of beauty.

WHAT YOU’LL BRING

Your passion for detail is matched by your logical thinking and curiosity. You not only obsess over details but also possess the agility to communicate improvements rapidly and clearly. You thrive in an ever-evolving landscape, where driving innovation and continuous improvement is paramount. We are looking for a detail-oriented Data Analyst with strong analytical skills, capable of working both independently and collaboratively within a dynamic team environment.
We value ambition paired with a logical mindset—individuals who are curious, inquisitive, and able to articulate suggestions with precision. You will utilize your strong foundation in BigQuery SQL, particularly in GA4 analysis, coupled with hands-on experience in data visualization using tools like Power BI. Your deep understanding of digital analytics, especially within Ecommerce and Retail, will enable you to provide actionable insights that drive business success. Your proficiency in digital analytics tools such as Google Analytics and Quantum Metric will be essential in providing recommendations that optimize performance.

Our ideal candidate will also possess:

• Proficiency in Google Analytics, Quantum Metric, or similar digital analytics platforms.
• Experience with Google Marketing Platform.
• Strong communication skills, both written and verbal, for conveying complex data insights to non-technical stakeholders.
• An eye for detail and a commitment to data accuracy and quality.
• Familiarity with Google Tag Manager, A/B testing tools, competitor research using market share tools, setting up data feed APIs, and UX platforms would be advantageous.

• Writing and optimizing BigQuery SQL scripts for GA4 analysis, integrating back-end data to segment and analyze customer data.
• Developing and maintaining dashboards and regular weekly/monthly reports to track KPIs related to performance, online engagement, A/B testing, traffic, conversion rates, marketing attribution, and campaign effectiveness.
• Using data visualization tools such as Power BI and Google Data Studio to create clear, actionable insights for stakeholders.
• Engaging in data modeling to effectively map out data structures that support business goals.
• Utilizing digital analytics tools like Google Analytics and Quantum Metric to deliver data-driven recommendations.
• Ensuring the accuracy and quality of data while drawing insightful conclusions and making strategic recommendations