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RYZE

Making the world feel better

Retention Analyst

AnalystAnalystFull TimeRemoteMid LevelTeam 11-50Since 2020H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

37 days ago

Salary

0

Seniority

Mid Level

Bachelor Degree2 yrs expEnglishSQLTableau

Job Description

Retention Analyst

RYZE

• 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.

Job Requirements

  • 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.

Benefits

  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and company holidays
  • Remote-first work environment with flexible scheduling

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