Own ad-hoc analytical requests within defined scope.
Translate business questions into analytical goals, queries, metrics.
Build dashboards and alerts for self-service decision-making.
Optimize SQL queries in BigQuery for performance and cost.
Design and maintain scalable data layers in BigQuery for AI, self-service BI, and monitoring.
Lead end-to-end analytical workflows from scoping to presentation.

🎯 Requirements

2–4 years as Product/Data/Business Analyst; fintech a plus; bachelor’s degree.
Strong SQL with hands-on BigQuery experience; optimize complex queries.
Experience designing analytics data models and large event-level datasets.
Proficient in BI tools (Looker, Power BI, Tableau) and dashboards.
Define and track KPIs; turn questions into analyses; communicate insights clearly.
Interest or experience in AI-driven analytics; Python is a plus.

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