Senior Data Analyst, Churn & Customer Success

Employer Industry : Health Tech and Software SolutionsWhy consider this job opportunity : Base salary up to $170,000 annuallyEligibility for annual bonuses or commissionComprehensive benefits package including medical, dental, vision, and life insuranceFlexible Time Off (FTO), wellbeing days, and paid holidaysOpportunities for career advancement and professional developmentSupportive work environment with a focus on customer successWhat to Expect (Job Responsibilities)Lead advanced churn analysis and customer success analytics, owning complex analytical projects that impact retention and growthConduct post-churn analysis to identify patterns and root causes of customer attrition across segmentsUtilize advanced statistical methods and AI-powered analytical approaches to investigate churn driversCollaborate with Data Science, Marketing, and Product teams to translate findings into actionable strategiesDevelop automated reporting systems to monitor customer health and churn risk factorsWhat is Required (Qualifications)Minimum of 8 years of experience in data analysis, with expertise in customer analytics and churn analysis in a SaaS environmentAdvanced proficiency in SQL, Python, and / or R, with experience in building analytical models and machine learning algorithmsHands-on experience with AI and agentic modeling approaches for customer behavior analysisStrong experience with analytics tools such as Snowflake, Looker, or TableauProven ability to lead complex analytical projects and communicate findings to technical and non-technical stakeholdersHow to Stand Out (Preferred Qualifications)Master's degree in a quantitative field such as Data Science, Statistics, or Computer ScienceExperience with customer analytics tools and marketing automation platformsBackground in developing retention strategies based on analytical insightsFamiliarity with experimental design and A / B testing methodsExperience with modern data science workflows and version control systemsWe prioritize candidate privacy and champion equal-opportunity employment.

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