Retention Analyst
About RYZE:
The Retention Analyst is the data engine behind RYZE's subscriber retention function. Reporting to the Retention Manager and working in close partnership with the VP, this role owns churn analysis, subscriber behavior modeling, retention metric reporting, and the analytical infrastructure that informs every retention program decision. The right candidate doesn't just produce reports — they surface the insight that changes what the Retention Manager builds next.
The Role:
What You’ll Do
Own churn data analysis — tracking cancellation rates, churn drivers, and at-risk subscriber patterns across cohorts
Build and maintain subscriber behavior models and segmentation frameworks to identify retention risk signals before they become cancellations
Tag, categorize, and trend cancellation reasons — surfacing actionable pattern insights for the Retention Manager's program design decisions
Develop and own the retention metrics dashboard — providing the Retention Manager and VP with weekly and monthly KPI visibility
Conduct LTV analysis and revenue impact modeling to quantify the cost of churn and the ROI of active retention programs
Build subscriber cohort reports across acquisition channel, product type, subscription length, and offer type
Support the Retention Manager with A/B test design and result analysis for save flows, win-back campaigns, and lifecycle interventions
Partner with Pillar 3 (CX Systems & Experience Tech) to ensure subscriber data flows accurately from Zendesk, Shopify, and Recharge into the analytics infrastructure
Partner with Analytics, Marketing, and Finance to ensure retention data is accurately reflected in broader business reporting
Maintain data documentation and ensure consistency and accuracy across all retention reporting
Additional duties as assigned by management.
What We Offer:
What We’re Looking For
Required:
2+ years of experience in data analysis, business intelligence, or retention analytics
Proficiency in data analysis tools — Excel/Google Sheets at advanced level; SQL preferred
Experience building dashboards and reports in BI tools (Sigma, Looker, Tableau, Google Data Studio, or similar)
Experience working with subscription, e-commerce, or DTC data — cohort analysis, retention curves, LTV modeling
Strong analytical skills with the ability to identify patterns, trends, and actionable insights from complex datasets
Clear written and verbal communication skills — able to present findings and recommendations to non-technical stakeholders
High attention to detail and a commitment to data accuracy and consistency across all reporting
Preferred:
Experience with Shopify, Recharge, Klaviyo, or subscription analytics platforms
Background in health, wellness, food/beverage, or consumer subscription brands
Familiarity with Python or R for data manipulation and statistical analysis
Experience supporting A/B test analysis and evaluating statistical significance
Exposure to customer segmentation, churn prediction modeling, or machine learning applications in retention
What We Offer
Competitive base salary commensurate with experience
Health, dental, and vision insurance
401(k) with company match
Paid time off and company holidays
Remote-first work environment with flexible scheduling
The Retention Analyst is the data engine behind RYZE's subscriber retention function. Reporting to the Retention Manager and working in close partnership with the VP, this role owns churn analysis, subscriber behavior modeling, retention metric reporting, and the analytical infrastructure that informs every retention program decision. The right candidate doesn't just produce reports — they surface the insight that changes what the Retention Manager builds next.
The Role:
What You’ll Do
Own churn data analysis — tracking cancellation rates, churn drivers, and at-risk subscriber patterns across cohorts
Build and maintain subscriber behavior models and segmentation frameworks to identify retention risk signals before they become cancellations
Tag, categorize, and trend cancellation reasons — surfacing actionable pattern insights for the Retention Manager's program design decisions
Develop and own the retention metrics dashboard — providing the Retention Manager and VP with weekly and monthly KPI visibility
Conduct LTV analysis and revenue impact modeling to quantify the cost of churn and the ROI of active retention programs
Build subscriber cohort reports across acquisition channel, product type, subscription length, and offer type
Support the Retention Manager with A/B test design and result analysis for save flows, win-back campaigns, and lifecycle interventions
Partner with Pillar 3 (CX Systems & Experience Tech) to ensure subscriber data flows accurately from Zendesk, Shopify, and Recharge into the analytics infrastructure
Partner with Analytics, Marketing, and Finance to ensure retention data is accurately reflected in broader business reporting
Maintain data documentation and ensure consistency and accuracy across all retention reporting
Additional duties as assigned by management.
What We Offer:
What We’re Looking For
Required:
2+ years of experience in data analysis, business intelligence, or retention analytics
Proficiency in data analysis tools — Excel/Google Sheets at advanced level; SQL preferred
Experience building dashboards and reports in BI tools (Sigma, Looker, Tableau, Google Data Studio, or similar)
Experience working with subscription, e-commerce, or DTC data — cohort analysis, retention curves, LTV modeling
Strong analytical skills with the ability to identify patterns, trends, and actionable insights from complex datasets
Clear written and verbal communication skills — able to present findings and recommendations to non-technical stakeholders
High attention to detail and a commitment to data accuracy and consistency across all reporting
Preferred:
Experience with Shopify, Recharge, Klaviyo, or subscription analytics platforms
Background in health, wellness, food/beverage, or consumer subscription brands
Familiarity with Python or R for data manipulation and statistical analysis
Experience supporting A/B test analysis and evaluating statistical significance
Exposure to customer segmentation, churn prediction modeling, or machine learning applications in retention
What We Offer
Competitive base salary commensurate with experience
Health, dental, and vision insurance
401(k) with company match
Paid time off and company holidays
Remote-first work environment with flexible scheduling