Data Analyst

• Technical data modeling & analytics engineering: Translate ambiguous questions into precise logic and performant SQL; design and maintain robust, explorable dbt models/semantic layers.
• Build executive-ready reporting: Automate self-serve dashboards and scheduled reports for weekly business reviews, monthly close, OKR reviews, and board materials.
• Lead growth & revenue analytics: Analyze the end-to-end funnel; quantify drivers of acquisition, conversion, retention, and expansion.
• Tell the story: Communicate complex findings clearly to technical and non-technical audiences.
• Operationalize insights: Embed metrics & alerts into workflows (Sales, Marketing, Operations, CS).
• Elevate data quality & governance: Establish SLAs for freshness/accuracy, anomaly detection, and issue triage.

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