Loyalty Data & Insights Lead — Onsite, Dubai

Sephora; Dubai; On-site; AED 360,000 - 600,000; Full time

Job summary

Sephora Dubai is seeking a Senior Loyalty Data and Insights Manager to lead data-driven decision making across the organization. You will own loyalty program metrics, forecast performance, and translate raw data into actionable insights for stores and e-commerce.

The role requires coordinating with cross-functional teams, delivering scheduled reports, and driving data excellence with strong project management. The ideal candidate has retail analytics experience and leadership capabilities.

Qualifications

• 5+ years of experience in pulling and analyzing large datasets to generate actionable insights.
• Proven track record of using data to drive business decisions with measurable impact.
• Retail-focused experience across multiple brands and products is preferred.
• Bachelor's degree in Analytics, Computer Science or equivalent.
• Ability to quickly learn new data platforms and master data analysis tools.
• Knowledge of Power BI is preferred.
• Strong project management skills with the ability to handle multiple requests and deliverables.
• Excellent communication skills and teamwork.

Responsibilities

• Oversee Loyalty Health Management: monitor KPIs, forecast trends, and report on loyalty health metrics.
• Oversee Data & Insight: manage data requests, support campaigns, segmentation, and A/B testing.
• Lead Reporting & Enablement: deliver timely reports and dashboards with clear insights for leadership.
• Manage Stakeholders: align data requests with business needs and coordinate with global/central tech teams.

Skills

Data analysis

SQL / querying

Power BI

Project management

Retail analytics

Education

Bachelor's degree in Analytics or Computer Science

Tools

Power BI

Job description

Sephora Dubai is seeking a Senior Loyalty Data and Insights Manager to lead data-driven decision making across the organization. You will own loyalty program metrics, forecast performance, and translate raw data into actionable insights for stores and e-commerce.

The role requires coordinating with cross-functional teams, delivering scheduled reports, and driving data excellence with strong project management. The ideal candidate has retail analytics experience and leadership capabilities.