Related skills
analytics product analytics sql ai data qualityπ Description
- Define and quantify levers in the agent journey: sourcing, onboarding, activation, retention.
- Build a repeatable testing cadence for the agent product analytics.
- Own core data foundations: commissions, debt, retention, attribution.
- Set the vision for AI-powered analytics to automate insights and self-serve analytics.
- Lead and grow the analytics team; hire standards and performance expectations.
- Cross-functional partnership with product, engineering, sales, ops, marketing, and finance.
π― Requirements
- 10+ years in analytics; 5+ years leading teams of managers and ICs.
- First-principles problem solver; break questions into data, decisions.
- Hungry, driven, proactive; move fast and set the agenda.
- Strong business/product analytics; SQL; experimentation; causal inference.
- Foundations builder; fix definitions, taxonomies, data quality.
- Excellent communicator; exec briefs; partner with engineering on data.
π Benefits
- US benefits details available on Ethos careers site.
- Remote-friendly environment with growth opportunities.
- Equal opportunity employer and inclusive culture.
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