Create and refine dashboards that display critical business metrics such as gross gaming revenue, net gaming revenue, customer lifetime value, churn rates, and conversion rates.
Spearhead the proof of concept and assessment of potential upgrades to the visualization stack, specifically evaluating Metabase and Apache Superset.
Develop efficient, production-level SQL code using common table expressions, window functions, and incremental modeling techniques, optimized for ClickHouse and large on-chain datasets.
Apply Python libraries like pandas, seaborn, and scikit-learn for in-depth data analysis, automate data validation processes, and build lightweight ETL pipelines or API integrations with blockchain data sources.
Extract and interpret EVM logs and token transfer events, perform wallet clustering analysis, and trace fund flows across exchanges and bridges to uncover behavioral drivers.
Establish structured event schemas for tracking wallet user journeys—both custodial and non-custodial—and work with Risk and Compliance teams to identify irregular patterns such as bonus exploitation or organized wallet networks.
Plan and evaluate A/B tests and cohort analyses while adhering to regulatory requirements specific to the iGaming and cryptocurrency sectors.

Competitive salary with performance incentives

Hybrid remote setup with team coordination across time zones

Collaborative data team working closely with engineering, product, and compliance functions

Design and iterate on dashboards surfacing core KPIs (GGR/NGR, LTV, churn, conversion)
Lead the Proof of Concept (POC) and evaluation process for transitioning our visualization layer to Metabase or Superset
Write production-grade SQL (CTEs, window functions, incremental models) with a heavy focus on performance optimization for ClickHouse and large-scale on-chain datasets
Use Python (pandas, seaborn, scikit-learn) for deep-dive analysis, data quality automation, and building lightweight ETL/API integrations with blockchain providers
Parse EVM logs and token transfers, analyze wallet clustering, and investigate exchange/bridge flows to understand the "whys" behind player behavior
Define event schemas for wallet funnels (custodial vs. non-custodial) and collaborate with Risk/Compliance to detect anomalies like bonus abuse or suspicious wallet rings
Design and analyze A/B tests and cohorts within the unique constraints of the iGaming and crypto regulatory landscape

Available for qualified candidates

Block Labs is hiring a Business Intelligence Analyst