Job Description
Note: The job is a remote job and is open to candidates in USA. RYZE Inc. is focused on enhancing subscriber retention through data-driven insights. The Retention Analyst will be responsible for churn analysis, subscriber behavior modeling, and retention metric reporting to inform retention program decisions.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- 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
Company Overview