Director Retention Analytics

About the Role

Key Responsibilities

• Collaborate with Retention Channel managers to develop the Marketing Effectiveness team's strategic roadmap and team objectives.
• Lead a team to conduct in-depth analyses of customer behavior, channel performance, testing, and forecasting to identify opportunities to drive retention marketing performance.
• Present findings and recommendations to senior leadership and key stakeholders to drive strategic decisions.
• Establish KPIs and performance metrics to track the effectiveness of retention channels, and develop internal performance benchmarks to optimize retention programs.
• Build dashboards leveraging third-party data sources and CRM data to provide Sephora with deep analytical insights.
• Collaborate with Product, Engineers, and MarTech teams to monitor, identify, and resolve data integrity issues.
• Manage team by providing coaching, guidance, direction, and support.
• Demonstrate Sephora values of Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative.

Requirements

• 8+ years of analytics experience, with a focus on customer retention.
• Proficiency with data analysis tools and programming languages such as SQL, Python, R, etc.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Ability to perform complex analyses to generate data-driven insights and recommendations.
• Understanding of business metrics and their relation to retention goals.
• Experience with test design and measurement, such as A/B testing.
• Excellent communication and presentation skills for conveying complex findings to technical and non-technical audiences.
• Strong leadership and team management skills, with the ability to motivate analysts.
• Ability to thrive in a collaborative, cross-functional environment and influence stakeholders at all levels.

Nice to Have

• Experience working within the retail or beauty industry.
• Knowledge of marketing channels and customer engagement strategies.
• Experience working in a global or multi-channel environment.

Qualifications

• Formal educational background or certifications relevant to analytics or data science (implied by experience requirements).

Benefits & Perks

• Competitive annual base salary range of $203,000 to $213,000, with potential bonuses.
• Comprehensive health, dental, and vision plans.
• A superior 401(k) plan and various paid time off programs.
• Employee discount and perks.
• Life insurance, disability insurance, flexible spending accounts, and employee referral bonuses.