Related skills
snowflake sql python tableau ml📋 Description
- Design and maintain data models in Snowflake as the source of truth for product health; improve observability.
- Partner with Product leadership to back the roadmap: Intl Receivables, AI workflows, embedded lending.
- Serve as lead analytics advisor to the CPO and PMs; translate data into actionable narratives.
- Conduct behavioral/funnel analysis to identify friction and opportunities to boost adoption.
- Move beyond descriptive BI with predictive models for stronger product intelligence.
- Design and analyze A/B tests and causal inference to measure feature impact.
🎯 Requirements
- 5+ years in a product data analytics role.
- Advanced SQL and analytics engineering; expert in structuring behavioral data.
- Python for data manipulation; Tableau for visualization.
- Product growth literacy: PLG metrics, retention analysis, lifecycle modeling.
- Statistical foundation: regression, hypothesis testing; interest in AI/ML opportunities.
🎁 Benefits
- Builder Mindset: thrive in fast-paced environments building new frameworks.
- Intellectual Curiosity: enjoy solving complex data puzzles.
- Humble Collaboration: assertive yet humble in sharing insights.
- Trusted Advisor: integrity and truth-seeking in data-driven decisions.
- Direct Payments Strategy experience in B2B/payments is a plus.
- Lending or credit risk modeling experience is a plus.
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