Business Intelligence Analyst

Description

Summary: Block Labs is seeking a data-driven Business Intelligence Analyst to transform blockchain and product data into actionable insights for their crypto-enabled iGaming products. Highlights: 1. Work at the bleeding edge of Web3, AI, and iGaming. 2. Utilize SQL, dbt, Python, Amplitude, and Tableau. 3. Focus on crypto wallet analytics and on-chain data. **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 seeking a data\-driven Business Intelligence Analyst to turn blockchain and product data into clear, actionable 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. **Key Responsibilities:** ========================= * Design, build, and iterate on **Tableau** dashboards that surface core 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. * Use **Python** (pandas, seaborn, scikit\-learn, SciPy) for analysis, data quality checks, lightweight ETL/backfills, API integrations (e.g., blockchain providers), and automation. * Work with **on\-chain data**: parse EVM logs and token transfers (ERC\-20/721\), join labeled\-address datasets, analyze exchange/bridge flows, gas/fee dynamics, and wallet clustering. * Own **crypto wallet** analytics across the funnel (custodial vs. non\-custodial, deposits/withdrawals, conversion to first deposit). * 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 (A/B and holdouts), cohorts, and attribution within iGaming and regional compliance constraints. * Investigate anomalies (bonus abuse, bot usage, arbitrage, suspicious wallet rings) and recommend mitigations. * Automate recurring reporting and alerting for KPI movements. **Qualifications** ------------------ * **Experience:** Minimum 2 years in Business Intelligence or Data Analytics; prior exposure to crypto or iGaming strongly preferred. * **Ownership \& Impact:** Demonstrated ability to build robust analytics infrastructure and scalable self\-serve data products. * **SQL:** Advanced proficiency with complex joins, window functions, performance optimization, and dimensional data modeling. * **Tableau:** Expert use of LOD expressions, parameters, actions, data modeling, extract vs. live strategies, and dashboard performance tuning. * **dbt:** Hands\-on experience with environments, sources/exposures, testing, documentation, and CI/CD integration. * **Python:** Proficient in analytics and data engineering (e.g., pandas); capable of writing modular, maintainable code, integrating with APIs, and scheduling lightweight jobs. * **Crypto Domain:** Practical understanding of crypto wallets and transaction flows, including custodial vs. non\-custodial models and WalletConnect/MetaMask. **Preferred Qualifications** ---------------------------- * Experience with **dbt Cloud**, data quality tooling (Great Expectations, Monte Carlo), and workflow orchestration (Airflow, Prefect). * Demonstrated ability to perform **on\-chain analytics** using platforms such as Dune, Flipside, Goldsky, or Nansen, or via self\-indexed data; familiarity with contract ABIs and entity/address labeling. * Hands\-on experience with modern data warehouses and object storage, including **ClickHouse**, **AWS**, and **Amazon S3**. * Working knowledge of **data governance and privacy** standards (e.g., GDPR), including data minimization and retention policies. * Strong understanding of **iGaming economics and KPIs**: deposits, wagers, hold, GGR/NGR, RTP, bonus efficiency, responsible gaming metrics, and common fraud/AML patterns. * Familiarity with **product analytics** platforms (Amplitude, Mixpanel, Google Analytics). **What kind of culture can I expect?** Mature, 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.