Build and maintain self-service, easy-to-use data models and tables in our BI tool (e.g., Metabase, Looker, etc.) so non-technical teams can explore data independently. Design and develop robust, documented ETL/ELT pipelines to ingest and transform data from product usage and event data, marketing systems (e.g., HubSpot, paid media, web analytics), invoicing and billing platforms (e.g., Stripe) and revenue and subscription management systems. Own and evolve the semantic layer: define clear metrics and business definitions (e.g., MRR, churn, LTV) that teams trust.
Partner closely with stakeholders to understand reporting needsโespecially around product engagement, customer retention, and financial metricsโand translate them into sustainable data models. Improve data quality, accuracy, and freshness, including building monitoring and alerting for pipeline issues. Automate recurring dashboards and reports, eliminating manual exports and spreadsheets. Contribute to data governance: documentation, versioning, and access controls. Advocate for data literacy by coaching teams on how to use BI tools effectively.