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