Description

Key Responsibilities

• Design, implement, and evaluate A/B and multivariate experiments to optimize member acquisition, engagement, and retention strategies.

• Apply advanced statistical methods, including regression analysis, hypothesis testing, predictive modeling, segmentation, and causal inference.

• Analyze large and complex datasets to identify trends, opportunities, and key drivers of member behavior.

• Translate analytical insights into actionable business recommendations.

• Collaborate with product, marketing, and business stakeholders to define success metrics and measurement frameworks.

• Develop dashboards, reports, and presentations to effectively communicate findings and recommendations.

Required Qualifications

• Strong expertise in statistical methodologies, experimental design, and hypothesis testing.

• Proven experience leading end-to-end A/B testing and experimentation programs.

• Proficiency in SQL, Python, R, or similar analytical tools.

• Experience supporting customer/member retention, loyalty, engagement, or lifecycle management initiatives.

• Excellent analytical, problem-solving, and communication skills

Key Skills

Education

Bachelor's or Master's degrees