Manages the team responsible for maintaining, analyzing, and surfacing all company data
•Identifies data discrepancies and minimizes silos by architecting a data processing and warehousing solution to aggregate data across all internal data sources and 3rd party tools
•Discovers and mitigates revenue-impacting risks by developing/designing solutions:
•Saved $700k in anticipated losses due to failed transactions by storing and alerting on credit card expiration dates
•Discovered and fixed 1.3% of total data that was invalid by collaborating with finance and operations teams
•Supported the recovery of $1mm (~10% annual revenue) by analyzing historical data discrepancies
•Identified $60k of annual lost revenue by integrating with 3rd party providers to compare existing property sizes with active plans and wrote design document (implemented by Eng) to stop future losses
•Improves data quality and reduces technical debt by reviewing schema change pull requests from the Eng team
•Reviews and approves all data schema proposals and pull requests from the engineering team
•Facilitates data-driven decisions across all departments by providing live Tableau reports on various KPIs. Leveraged by:
•Sales to pay commissions and marketing to identify customer segments for targeted campaigns
•Leadership to understand which customer experiences impact satisfaction to increase renewal
•Operations to identify fraud and reduce servicer labor and parts costs
•Product to track the impact of new automation features on reducing human-hours spent on claims
•Enabled future fundraising by aggregating data using Jupyter Lab to provide 5 years of product trends in 10 markets
•Created all processes and workflows for the data team, including requesting reports and analysis, submitting and fixing data issues, and evaluating and prioritizing data team tasks based on effort and impact
