Senior Data Analyst, Churn

4 semanas atrás


Salvador, Brasil Remote Jobs Tempo inteiro

Employer Industry: Health Tech and Software Solutions Why consider this job opportunity: Base salary up to $170,000 annually Eligibility for annual bonuses or commission Comprehensive benefits package including medical, dental, vision, and life insurance Flexible Time Off (FTO), wellbeing days, and paid holidays Opportunities for career advancement and professional development Supportive work environment with a focus on customer success What to Expect (Job Responsibilities) Lead advanced churn analysis and customer success analytics, owning complex analytical projects that impact retention and growth Conduct post-churn analysis to identify patterns and root causes of customer attrition across segments Utilize advanced statistical methods and AI-powered analytical approaches to investigate churn drivers Collaborate with Data Science, Marketing, and Product teams to translate findings into actionable strategies Develop automated reporting systems to monitor customer health and churn risk factors What is Required (Qualifications) Minimum of 8 years of experience in data analysis, with expertise in customer analytics and churn analysis in a SaaS environment Advanced proficiency in SQL, Python, and/or R, with experience in building analytical models and machine learning algorithms Hands-on experience with AI and agentic modeling approaches for customer behavior analysis Strong experience with analytics tools such as Snowflake, Looker, or Tableau Proven ability to lead complex analytical projects and communicate findings to technical and non-technical stakeholders How to Stand Out (Preferred Qualifications) Master's degree in a quantitative field such as Data Science, Statistics, or Computer Science Experience with customer analytics tools and marketing automation platforms Background in developing retention strategies based on analytical insights Familiarity with experimental design and A/B testing methods Experience with modern data science workflows and version control systems We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. #J-18808-Ljbffr


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