Job Summary
A company is looking for a Data Analyst to join their Revenue Analytics team.
Key Responsibilities
- Refresh and refine Lifetime Value (LTV) prediction models and collaborate on revenue recognition processes
- Work with cross-functional teams to monitor data quality and LTV-related metrics
- Analyze customer insights and churn behaviors, providing recommendations to improve retention metrics
Required Qualifications
- Bachelor's degree in Mathematics, Statistics, Data Science, Analytics, or a similar field; Master's degree preferred
- 0-3 years of experience in advanced analytics or data science
- Experience with customer behavioral modeling (LTV, churn, segmentation)
- Proficient in Python and SQL; familiarity with machine learning frameworks and data visualization tools
- Knowledge of Finance and Accounting metrics and processes preferred
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