Member Deepening & Retention Analytics Specialist

Decision Science Analytics Member Deepening & Retention Analytics Specialist

Location: San Antonio, TX
Work Setting: Onsite from Day One
Experience: 7 9 years
Position Type: Contractor

Role Summary

We are seeking a data-driven professional to support Member Deepening and Retention initiatives through advanced statistical analysis and experimentation. The ideal candidate will possess strong expertise in statistical methodologies and extensive experience designing, executing, and analyzing A/B tests to drive member engagement, retention, and lifetime value.

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 analytical findings and recommendations.
• Support member deepening, retention, loyalty, engagement, and lifecycle management initiatives.
• Conduct end-to-end experimentation and provide data-driven recommendations for improving member outcomes.

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.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to translate complex analytical findings into actionable business recommendations.

Educational Qualifications

Candidates must have a degree in a quantitative discipline with strong statistical and analytical coursework. Relevant fields include:

• Statistics
• Mathematics
• Economics
• Data Science
• Operations Research
• Applied Mathematics
• Computer Science
• Related quantitative disciplines

A Bachelor's or Master's degree in one of the above quantitative fields is preferred.

Technical Skills

• Advanced Analytics
• Python
• SQL
• R
• Statistical Analysis
• Experimental Design
• A/B Testing
• Multivariate Testing
• Regression Analysis
• Hypothesis Testing
• Predictive Modeling
• Causal Inference
• Data Segmentation
• Data Visualization
• Dashboard Development

Primary Skills

• Advanced Analytics
• Python
• Statistical Analysis
• A/B Testing / Experimentation
• Experimental Design
• Hypothesis Testing

Secondary Skills

• SQL
• R
• Regression Analysis
• Predictive Modeling
• Causal Inference
• Customer/Member Retention Analytics
• Loyalty & Engagement Analytics
• Lifecycle Management
• Data Segmentation
• Data Visualization
• Business Analytics