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
Requirements
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.