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Retention Analyst Jobs (NOW HIRING)

Ryze, Inc.

Retention Analyst

COMPANY 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 ...

PrizePicks

Associate Retention Analyst

Atlanta, GA · Hybrid

Own the topic of retention marketing analytics through segmenting promotional strategies, creating a personalized user experience, and optimizing retention spend * Design the framework for frequent A ...

PrizePicks

Associate Retention Analyst

Atlanta, GA · On-site

Own the topic of retention marketing analytics through segmenting promotional strategies, creating a personalized user experience, and optimizing retention spend * Design the framework for frequent A ...

Blueprint

Product Analyst

$90/hr

Build and maintain product funnels, cohort analyses, and retention reporting * Identify drop-offs, friction points, and opportunities across the user lifecycle * Surface actionable insights on ...

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Retention Analyst information

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$31K

$73.3K

$130K

How much do retention analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for retention analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a retention analyst?

Retention Analysts are professionals who analyze customer data to understand why customers stay with or leave a company. Their main goal is to identify patterns and trends related to customer retention and churn, using data-driven insights to recommend strategies that improve customer loyalty. They often work closely with marketing, customer service, and product teams to develop initiatives that keep customers engaged. Retention Analysts use various tools and techniques, such as statistical analysis and predictive modeling, to help organizations reduce customer loss and increase long-term value.

What is the difference between Retention Analyst vs Customer Success Analyst?

AspectRetention AnalystCustomer Success Analyst
Required CredentialsBachelor's degree in business, marketing, or related field; data analysis skillsBachelor's degree in business, communications, or related field; customer service experience
Work EnvironmentData-driven, analytical setting, often in finance, marketing, or SaaS companiesCustomer-facing roles in SaaS, tech, or service industries
Employer & Industry UsageUsed in marketing, SaaS, finance to improve customer retentionCommon in SaaS, tech, and service sectors to enhance customer experience
Search & Comparison IntentUnderstanding roles related to customer retention and data analysisUnderstanding roles focused on customer success and relationship management

While both roles aim to improve customer relationships, a Retention Analyst primarily analyzes data to identify retention strategies, whereas a Customer Success Analyst focuses on engaging with customers to ensure satisfaction and loyalty.

How does a retention analyst typically interact with marketing and customer service teams to improve customer retention rates?

A Retention Analyst works closely with both marketing and customer service teams to share insights on customer behavior, churn risk, and the effectiveness of retention campaigns. They often analyze customer data and feedback, then collaborate with marketing to develop targeted communication strategies and with customer service to refine engagement tactics. Regular meetings and reporting help ensure that all teams are aligned on goals and understand which actions have the strongest impact on retaining customers. This collaborative environment supports continuous improvement and innovation in retention initiatives.

What are the key skills and qualifications needed to thrive as a retention analyst?

To thrive as a Retention Analyst, you need strong analytical skills, experience with data analysis, and a background in business, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), CRM systems, and advanced Excel or SQL is typically required. Excellent communication, problem-solving abilities, and attention to detail help you translate data insights into actionable retention strategies. These skills are crucial for identifying customer trends and driving initiatives that improve customer loyalty and business growth.
More about Retention Analyst jobs
What states have the most Retention Analyst jobs? States with the most job openings for Retention Analyst jobs include:
What job categories do people searching Retention Analyst jobs look for? The top searched job categories for Retention Analyst jobs are:
Retention Analyst jobs near you
Infographic showing various Retention Analyst job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Retention Analyst

Ryze, Inc.

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

COMPANY
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.
ROLE & RESPONSIBILITIES
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

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