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Block Labs

BI Analyst

Block Labs
Portugal · Full-time · Mid-Senior
🏷️Title: Business Intelligence Analyst

👫Department: Revenue Operations

📍Location: UK or Europe, Remote

About Block Labs

Block Labs is a leading force in the Web3 space, incubating, investing in, and accelerating top-tier fintech, crypto and iGaming projects. With a mission to shape the future of decentralized technology, we partner with visionary startups to raise funding, refine product-market fit, and grow their audiences. Our diverse team drives innovation, using deep industry expertise and an extensive network to empower the next wave of blockchain-driven companies. At Block Labs, we’re passionate about turning bold ideas into breakthrough success.

We’re looking for a Business Intelligence Analyst to join our growing team!

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).

Key Skills

Ranked by relevance

blockchain pandas mixpanel storage tableau seaborn python cloud scipy gdpr cicd sql aws
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🇵🇹

Country Guide

Portugal

Startup-friendly with strong expat appeal

Posted
Sep 19, 2025
Type
Full-time
Level
Mid-Senior
Location
Lisboa
Company
Block Labs

Industries

IT Services IT Consulting

Categories

Other

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