6+ years in applied analytics in SaaS, a product company, or e-commerce, with DTC, e-commerce, or B2B2C experience strongly preferred. Full-stack analyst range: BI, data modeling, product analytics, experimentation and A/B testing, applied statistics, and churn analysis, with real depth in more than one of CS, CRO, Sales, SaaS metrics, finance, and marketing analytics. A/B testing experience. This one is required: you have designed and analyzed experiments and can separate a real effect from noise. Strong SQL and comfort in Python. Much of the technical part of analysis today is AI-generated. That reliance creates room for lower standards; we expect the opposite, so you read it closely and challenge it rather than trust it. Stakeholder fluency: comfortable with a CFO, a Sales VP, and a CSM in the same hour, fluent in the KPIs each lives by, and able to communicate in business language rather than p-values. A closed-loop instinct: not "report a metric" but "what changes because of this," with accountability for every number you ship. A clear view of where AI helps analytics and where it creates risk, and the rigor to reject sloppy output. High integrity, strong attention to detail, but equally comfortable rolling up your sleeves and doing hands‑on work. Ability to work in our Tel Aviv office, four days a week Full professional proficiency in English (written and spoken) Strong advantages: Snowflake experience, and a real passion for online shopping, e-commerce, and consumer psychology, with genuine curiosity about how DTC shoppers behave. Also a plus: churn modeling, LTV/pLTV, win/loss frameworks, or B2B SaaS expansion analytics.
