Drive proactive analytics; spot anomalies and provide actionable recommendations.
Build, maintain dashboards surfacing KPIs (GGR/NGR, ARPU, LTV, churn, deposit→wager conversion, fraud loss rate).
Write production-grade SQL (CTEs, window functions, incremental models) on Clickhouse and on-chain tables.
Build and maintain AI-agent workflows that automate recurring analytics.
Use Python (pandas, seaborn, sklearn, scipy) for analysis, data quality checks, lightweight ETL/backfills, API pulls, and automation.
Work with on-chain data: parse EVM logs, token transfers, join labeled address datasets, analyze exchange/bridge flows, gas/fee dynamics, and wallet clustering.

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