Responsibilities

• Work with the billing team to determine their needs and develop an analytics strategy
• Prioritize tasks based on business value and potential impact while balancing urgent requests with long-term strategic initiatives
• Build and maintain dashboards, reports, and key metrics to support data-driven decision-making
• Design, run, and analyze A/B tests to validate hypotheses, measure the impact of billing changes, and drive continuous improvement
• Ensure data quality, uncover insights, and provide actionable recommendations to improve performance

Nice to have

• Python skills for data manipulation and analysis (pandas, data visualization, statistics)
• Solid understanding of statistics, including experiment design, statistical tests, correlation analysis, and segmentation
• Experience with subscription monetization products, including understanding key metrics, user retention, churn analysis, and revenue optimization strategies

Requirements

• 2+ years of experience in a similar analytics role
• Solid understanding of billing principles and payment systems, or a proven ability to quickly master new, complex domains
• Advanced SQL proficiency for querying and analyzing large datasets
• Experience with BI tools such as Tableau or Power BI
• Ability to communicate insights effectively by presenting analysis results in a clear and compelling manner