Revenue Analyst - Lifecycle

What You’ll Do

• Own the topic of retention and revenue analytics through optimizing + tracking segmented reinvestment spend, creating key reports for leadership, and delivering actionable insights
• Inform impact and drive high-level insights via a combination of always-on and periodic high A/B testing
• Develop data collection, data analysis, and business intelligence reporting systems to measure and inform business strategy for the Revenue Operations team
• Monitor metrics and perform detailed analysis, and keep key stakeholders informed on trends and areas of opportunity
• Understand how user trends impact high-level business KPIs to guide decision-making
• Create presentations and written documents with little guidance, and present to both technical and non-technical audiences in an effective way, articulating ideas and opinions clearly and efficiently
• Collaborate with decision-makers on the Revenue Operations team to understand their goals, and proactively identify opportunities to use data to develop new insights, guide strategy, and improve business results

What You Have

• 2+ years of Data Analytics experience in an ecommerce, direct-to-consumer or retail environment (marketing domain experience preferred)
• Advanced knowledge of SQL, including comfort with analytic functions, window functions, and common table expressions
• 2+ years’ experience using data visualization tools (Tableau preferred) & scripting languages (Python)
• Experience designing, analyzing, and interpreting A/B tests (including hypothesis development, test design, and measuring impact on key metrics such as retention, conversion, and revenue)
• Advanced ability to draw insights from analysis, supported by data, and clearly communicate them to stakeholders, including senior management
• Intellectual curiosity, and solid understanding in data sources and ecosystems, with the ability to see from the brand’s business lens
• Strong communication skills, both written and oral