Job Description
Job Description Looking for the candidates with below education background
Bachelor's, Master's, degree in a quantitative discipline such as Statistics, Mathematics, Economics, Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field.
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.