Analytics
San Francisco, California, Us
- Built the data infrastructure and processing (Python/SQL) to support multi-touch marketing attribution across advertising channels spanning digital and offline; attribution model used to drive $XMs in marketing spend annually in response to downstream performance metrics (return on ad spend, cost per contract, etc.)- Produced all analytical materials for $16M Series A, $36M Series B, $80M Series C, quarterly board meetings, etc.- Hired and led analytics team- Built the return and cash flow projection model (Python) used to guide decision making for a $20M+ real estate investment vehicle, including capital calls, cash-out refi recommendations, and scenario analysis- Built market sizing and competitive intelligence tools on top of 100s of GBs of transaction-level data. Used as an input to deciding which markets to enter, evaluate ongoing performance within markets, source property investors for the demand-side of the marketplace+ more...