Senior Data Analyst, Churn & Customer Success

Remote Jobs; Brasil; Teletrabalho; BRL 770.000 - 907.000; Tempo integral

Resumo da oferta

A leading health tech firm is seeking an experienced data analyst to lead advanced churn analysis and improve customer retention strategies. This role requires at least 8 years of experience in customer analytics within a SaaS environment, proficiency in SQL and Python, and the ability to communicate findings effectively. The position offers a competitive salary up to $170,000 annually, bonuses, and a comprehensive benefits package.

Serviços

Comprehensive benefits package

Flexible Time Off

Opportunities for career advancement

Qualificações

• Minimum of 8 years of experience in data analysis in a SaaS environment.
• Advanced proficiency in SQL, Python, and/or R.
• Hands-on experience with AI and statistical modeling.

Responsabilidades

• Lead advanced churn analysis and customer success analytics.
• Utilize advanced statistical methods for churn driver investigation.
• Develop automated reporting systems to monitor customer health.

Conhecimentos

Customer analytics

Churn analysis

SQL

Python

Machine learning algorithms

Data analysis

Tableau

Formação académica

Master's degree in a quantitative field

Ferramentas

Snowflake

Looker

Tableau

Descrição da oferta de emprego

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

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