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Retention Analyst Jobs (NOW HIRING)

thecenters

Retention Specialist

Cleveland, OH

Job Summary Responsible for keeping accurate and timely records of working job seekers, ensuring close contact, case management, up-to-date information, and analyzing employment retention data to ...

thecenters

Retention Specialist

Cleveland, OH · On-site

Job Summary Responsible for keeping accurate and timely records of working job seekers, ensuring close contact, case management, up-to-date information, and analyzing employment retention data to ...

Everlane

Retention Marketing Manager

Los Angeles, CA · On-site

$81K - $120K/yr

We're looking for a Manager of Retention Marketing to deepen engagement and grow customer lifetime ... You'll partner closely with Creative, Merchandising, Analytics, and Engineering to bring ...

Everlane

Retention Marketing Manager

Los Angeles, CA · Hybrid

$81K - $120K/yr

We're looking for a Manager of Retention Marketing to deepen engagement and grow customer lifetime ... You'll partner closely with Creative, Merchandising, Analytics, and Engineering to bring ...

thecenters

Retention Specialist

Cleveland, OH · On-site

Job Summary Responsible for keeping accurate and timely records of working job seekers, ensuring close contact, case management, up-to-date information, and analyzing employment retention data to ...

One, Inc.

Retention Specialist

Analyze vendor behavior, payment preferences, and network data to identify trends impacting ... retention. * Support the strategic rollout of new products by identifying process gaps and ...

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All JobsRetention Analyst Jobs

Retention Analyst information

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$31K

$73.3K

$130K

How much do retention analyst jobs pay per year?

As of Jul 21, 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 are Retention Analysts?

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.

Why is Gen Z struggling to get jobs?

Retention Analysts, like many entry-level roles, may find it challenging for Gen Z candidates due to factors such as limited work experience, skills gaps, or competition from more experienced applicants. Developing relevant skills, certifications, and understanding workplace expectations can improve their employment prospects.

What does a retention analyst do?

A retention analyst is responsible for analyzing customer data to identify patterns and develop strategies to improve customer retention and reduce churn. They use tools like SQL, Excel, and analytics platforms to track key metrics and inform marketing or product decisions. The role often requires strong analytical skills and understanding of customer behavior.

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.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain finance, technology, and legal positions, especially with bonuses or profit sharing, also reach this level, often requiring advanced skills, extensive experience, and advanced certifications.

What jobs make $1,000,000 a year?

Retention Analysts typically do not earn $1,000,000 annually; such high salaries are usually associated with executive roles like CEOs, investment bankers, or successful entrepreneurs. High earnings in these fields often require extensive experience, advanced skills, and significant responsibility. Most roles in data analysis or marketing, including retention analysis, have salaries well below this threshold.

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, and why are they important?

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 July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Sr. Analyst, Product Analytics

Sr. Analyst, Product Analytics

PlayStation Global

San Mateo, CA • On-site, Remote

$175K - $248K/yr

Other

Posted 6 days ago

Job description

Sony Interactive Entertainment LLC seeks a Sr. Analyst, Product Analytics in San Mateo, CA to support the planning and rollout of large-scale testing strategies, including segmentation, global holdouts, and longitudinal studies. Requires a Master's degree in Business Analytics, or related field or equivalent, and three (3) years of experience developing and deploying machine learning modeling for user segmentation, behavior prediction, and fraud detection using Random Forest, Gradient Boosted Trees (XGBoost), Logistic Regression, K-Means, DBSCAN, Latent Class Analysis, and association rule mining; designing and analyzing experiments across A/B testing, multivariate testing, frequentist frameworks, and Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure through stratified sampling and CUPED adjustment; performing causal impact measurement and competitor analysis using quasi-experimental methods including Synthetic Control Models, and time-series techniques including Difference-in-Differences, Interrupted Time Series, Bayesian Structural Time Series models, Seasonal-Trend Decomposition, and Rolling Regression; building and maintaining dashboards using Tableau/DOMO to integrate ETL processes; troubleshooting technical configurations, managing data pipelines, validating metrics, and supporting experimentation scalability; utilizing digital user behavior and monetization analytics, including online customer journeys, website conversions, payment-related user interactions, retention analysis, churn modeling, and marketing return on investment (ROI); applying data mining and behavioral segmentation techniques to uncover patterns that drive product, marketing, and revenue optimization decisions; and utilizing Python, R, SQL, Adobe Analytics, Customer Journey Analytics, and cloud-based data platforms including Databricks, Data Ocean, Redshift, AWS S3, MongoDB, data catalog and Postgres to manage and analyze large-scale datasets. Telecommuting and/or working from home may be permissible pursuant to company policies. Sony is an EOE.

Salary range: $175,013.00 - $248,900.00/year

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