Sr. Data Analyst - Retention - Remote

Overview

The Retention Data Analyst will be instrumental in understanding customer behavior, identifying opportunities to improve retention, and developing insights to drive loyalty. You’ll work closely with the marketing, product, engineering and data science teams to provide insights on customer lifecycle, segmentation, and retention campaigns. Your ability to analyze complex datasets, uncover trends, and recommend actionable strategies will be key to driving customer loyalty and lifetime value.

In Short

• Conduct in-depth analyses of customer cohorts and behaviors to identify trends in retention, churn, and lifecycle stages.
• Evaluate the performance of retention marketing campaigns offering insights to optimize customer engagement and retention rates.
• Build and continuously enhance multi-touch attribution models to accurately measure the effectiveness of marketing channels and campaigns.
• Assess and optimize marketing spend targeting existing customers to drive incrementality.
• Develop customer segments based on behavior, purchasing patterns, and demographics.
• Work with data science teams to build and maintain churn prediction models.
• Create and maintain dashboards and reporting systems for real-time insights on retention metrics.
• Design and analyze A/B tests and multivariate experiments for retention campaigns.
• Partner with product, customer service, and marketing teams to align retention strategies.

Requirements

• Bachelor’s degree in a quantitative field.
• 6+ years of experience in data analytics.
• Proficiency in SQL and BI tools.
• Knowledge of statistical methods, including A/B testing and cohort analysis.
• Strong business and analytical mindset.
• Excellent communication skills.
• Ability to manage multiple projects simultaneously.
• Experience with retention metrics and predictive modeling techniques.
• Knowledge of customer lifecycle management in e-commerce.

Benefits

• Opportunity to work with cross-functional teams.
• Impact on customer loyalty and lifetime value.
• Dynamic and fast-paced work environment.