ph3About Block Labs /h3 pBlock Labs is a premier technology studio operating at the bleeding edge of bWeb3, Artificial Intelligence, and iGaming /b. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. /p pWe 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. /p pWe 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. /p h3About The Role /h3 pWe'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. /p h3Key Responsibilities /h3 ul liDrive 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.. /li liBuild, maintain, and iterate dashboards surfacing KPIs (GGR/NGR, ARPU, LTV, churn, deposit wager conversion). /li liWrite production-grade SQL (CTEs, window functions, incremental models) to model clean datasets from Clickhouse and on-chain tables.



/li liBuild and maintain AI-agent workflows that automate recurring analytics - anomaly investigation, root-cause loops etc. /li liUse Python (pandas, seaborn, sklearn, scipy) for analysis, data quality checks, lightweight ETL/backfills, API pulls (e.g., blockchain providers), and automation. /li liWork 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. /li liPartner with Product, Marketing/CRM, Risk/Compliance, and Engineering to define event schemas and tracking plans; ensure data quality, lineage, and documentation. /li liDesign and analyze experiments, cohort analyses, and attribution within iGaming and regional compliance constraints. /li liInvestigate anomalies (bonus abuse, botting, arbitrage, suspicious wallet rings) and recommend mitigations. /li liAutomate recurring reporting and alerting for KPI movements. /li /ul h3Must-haves /h3 ul li2+ years in BI or Data Analytics; crypto or iGaming exposure prefered. /li liAmbitions about building great analytics infrastructure. /li liGood SQL: complex joins, window functions, query optimization, and dimensional modeling. /li liSolid 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. /li liBI 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. /li liProficient Python for analytics data engineering: pandas, modular scripts/notebooks, API integrations, scheduling small jobs, and writing maintainable code. /li liSolid statistics and probability fundamentals for experimentation - hypothesis testing, sample size and power, confidence intervals, and the discipline to distinguish real signal from noise. /li liPractical understanding of crypto wallets and transaction flows. /li /ul h3Nice-to-haves /h3 ul lidbt, Great Expectations/Monte Carlo for data quality; orchestration with Airflow/Prefect. /li liBuilt or contributed to production AI agents for analytics - ReAct loops, RAG over a knowledge base , MCP servers for data sources, multi-agent orchestration. Knows how to curate domain knowledge for agents so they stop hallucinating. /li liAbility to produce on-chain analytics (Dune/Flipside/Goldsky/Nansen tables or self-indexed data; contract ABIs; entity labeling). /li liWarehouse ecosystems knowledge Clickhouse, AWS, S3 buckets. /li liData governance privacy (GDPR, data minimization, retention policies). /li liUnderstanding of iGaming economics KPIs: deposits, wagers, hold, GGR/NGR, RTP, bonus efficiency, RG metrics, and common fraud/AML patterns. /li liExperience with product analytics services like Amplitude, Mixpanel, Google Analytics. /li /ul h3What kind of culture can I expect? /h3 pMature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you're one of the smartest minds in your craft and want to build with other experts, you'll feel at home here. /p /p #J-18808-Ljbffr

📌 Business Intelligence Analyst (Málaga)
🏢 Block Labs
📍 Málaga