Data foundation: design core model across CRM, telemetry, marketing, and finance.
Build pipelines; ensure data quality, identity resolution, and governance.
Establish scalable definitions, naming, docs, and self-serve access.
PLG instrumentation: define activation, time-to-value, engagement events.
Ensure product signals usable in CRM for AEs and Growth.
Insights & pattern detection: surface patterns and opportunities; support experiments.

🎯 Requirements

5+ years in analytics engineering / BI / data engineering with GTM.
Proven ability to build data infrastructure: pipelines, modeling, governance.
Strong SQL and data modeling; own instrumentation with Product/Engineering.
Clear communication with non-technical stakeholders; align definitions.
Experience with modern BI/data tooling and AI-assisted analytics.
Familiarity with stacks: warehouse + transformation + BI + reverse ETL.

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