Senior Data Analyst

Job Summary

A company is looking for a Senior Data Analyst, Revenue Analytics.

Key Responsibilities

• Refresh and refine the Lifetime Value (LTV) prediction models and collaborate with the Finance team in revenue recognition processes
• Drive cross-functional collaboration to monitor data quality and LTV-related metrics across various departments
• Serve as a subject matter expert on LTV, providing insights and recommendations to improve customer retention and financial performance

Required Qualifications, Training, and Education

• Bachelor's degree in Mathematics, Statistics, Data Science, Analytics or a related field; Master's degree preferred
• 3-5 years of experience in advanced analytics or data science
• Deep experience in customer behavioral modeling, including LTV and churn analysis
• Advanced proficiency in Python or related programming languages, and strong skills in SQL, Excel, and data visualization tools
• Knowledge of eCommerce, digital marketing, Fintech, and Insurtech preferred