Senior Data Analyst (Retention)
ArgentinaFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLData visualizationA/B testing
Requirements
- Advanced SQL (complex queries, CTEs, window functions)
- Experience with data warehouses (BigQuery, Snowflake, Redshift)
- Python for Analytics (Pandas, NumPy)
- Statistical modeling (regression, cohort analysis, time-series forecasting, hypothesis testing)
- Strong understanding of retention/lifecycle analytics
- Data visualization experience (Looker, Tableau, Power BI, etc.)
- Analytical mindset and structured problem-solving
- Strong communication skills
- Business acumen regarding unit economics
Responsibilities
- Conduct deep-dive analyses on retention, repeat rate, churn, cohorts, LTV, and lifecycle KPIs
- Analyze customer behavior across the funnel
- Perform exploratory data analysis to answer ad-hoc retention questions
- Identify drivers of churn and loyalty
- Build and maintain cohort-based and predictive models
- Design and analyze A/B tests and lifecycle experiments
- Create Python/SQL scripts to automate recurring retention and cohort reporting
- Develop QA processes for customer-level data
- Present insights to non-technical stakeholders
- Mentor junior analysts
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