Business Intelligence Analyst

About Block Labs Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming . We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. About The Role We’re looking for a data-obsessed BI Analyst to turn blockchain and product data into crisp insights that drive growth, retention, and risk controls across our crypto-enabled iGaming products. You’ll own the end-to-end analytics stack for wallet funnels, wagering behavior, lifecycle marketing, and compliance—using SQL , DBT , Python , Amplitude and Tableau as your primary tools. In the future we planning transition from Tableau to other BI tools alternatives like Metabase or Apache Superset or others. Key Responsibilities - Drive the business forward through proactive analytics - don't just fulfill dashboard requests; spot anomalies, frame the right question yourself, and bring actionable recommendations to Product / CRM / Risk before they have to ask.. - Build, maintain, and iterate dashboards surfacing KPIs (GGR/NGR, ARPU, LTV, churn, deposit→wager conversion, fraud loss rate). - Write production-grade SQL (CTEs, window functions, incremental models) to model clean datasets from Clickhouse and on-chain tables. - Build and maintain AI-agent workflows that automate recurring analytics - anomaly investigation, root-cause loops etc. - Use Python (pandas, seaborn, sklearn, scipy) for analysis, data quality checks, lightweight ETL/backfills, API pulls (e.g., blockchain providers), and automation. - Work with on-chain data : parse EVM logs, token transfers (ERC-20/721), join labeled address datasets, analyze exchange/bridge flows, gas/fee dynamics, and wallet clustering. - Partner with Product, Marketing/CRM, Risk/Compliance, and Engineering to define event schemas and tracking plans; ensure data quality, lineage, and documentation. - Design and analyze experiments, cohort analyses, and attribution within iGaming and regional compliance constraints. - Investigate anomalies (bonus abuse, botting, arbitrage, suspicious wallet rings) and recommend mitigations. - Automate recurring reporting and alerting for KPI movements. Must-haves - 2+ years in BI or Data Analytics; crypto or iGaming exposure prefered. - Ambitions about building great analytics infrastructure. - Good SQL : complex joins, window functions, query optimization, and dimensional modeling. - Solid AI-collaboration craft — prompt & context engineering, spec-driven task framing, and eval-driven iteration. Comfortable decomposing business questions into precise, agent-executable steps and designing the right tools for the agent to call. - BI Versatility: Expert knowledge of Tableau (LODs, parameters, performance tuning) combined with a strong interest or experience in modern, open-source BI tools like Metabase or Apache Superset. - Proficient Python for analytics & data engineering: pandas, modular scripts/notebooks, API integrations, scheduling small jobs, and writing maintainable code. - Solid statistics and probability fundamentals for experimentation - hypothesis testing, sample size and power, confidence intervals, and the discipline to distinguish real signal from noise. - Practical understanding of crypto wallets and transaction flows. Nice-to-haves - dbt, Great Expectations/Monte Carlo for data quality; orchestration with Airflow