Loyalty Data & Insights Leader

Sephora USA, Inc; Dubai; On-site; AED 180,000 - 260,000; Full time

Job summary

Sephora USA, Inc. is seeking a Loyalty Data and Insights Manager to lead data, insights, and analytics for the Beauty Pass program. You will ensure real-time access to data, generate actionable reports, and drive opportunities across Sephora teams.

You will manage a team to monitor health metrics, forecast performance, and present findings to leadership, enabling informed decisions to optimize customer retention and program effectiveness.

Qualifications

• 5+ years of experience pulling and analyzing large datasets and creating actionable insights.
• Experience leveraging data to drive business decisions with demonstrated impact.
• Preferred experience in retail with multiple brands and products and complex data segments.
• Bachelor's degree in Analytics, Computer Science or equivalent.
• Adept at quickly learning new data platforms; strong knowledge of Power BI is preferred.
• Strong project management skills and ability to handle multiple requests.

Responsibilities

• Oversee loyalty program health metrics, forecast KPIs, and reconcile forecasts with actuals.
• Manage data requests across stores, e-commerce, brands, and campaigns.
• Lead discussions to support insights, campaigns, and product launches with clear, actionable reporting.
• Set up prioritization and track workload; manage dashboards and recurring reports.
• Collaborate with Global/Central teams to ensure access to data platforms and reliability.

Skills

Power BI

Data analysis

Project management

Stakeholder management

Strong communication

Education

Bachelor's degree in Analytics, Computer Science or equivalent

Tools

Power BI

Job description

Sephora USA, Inc. is seeking a Loyalty Data and Insights Manager to lead data, insights, and analytics for the Beauty Pass program. You will ensure real-time access to data, generate actionable reports, and drive opportunities across Sephora teams.

You will manage a team to monitor health metrics, forecast performance, and present findings to leadership, enabling informed decisions to optimize customer retention and program effectiveness.