Block Labs logo
Block Labs

Web3 Incubator & Investment

Business Intelligence Analyst

Business Intelligence DeveloperBusiness Intelligence DeveloperFull TimeRemoteMid LevelTeam 51-200Since 2022H1B No SponsorCompany SiteLinkedIn

Location

Portugal

Posted

37 days ago

Salary

0

Seniority

Mid Level

Job Description

Business Intelligence Analyst

Block Labs

• Turn blockchain and product data into clear, actionable insights • Own the end-to-end analytics stack for wallet funnels, wagering behavior, lifecycle marketing, and compliance • Design, build, and iterate on Tableau dashboards that surface core KPIs • Write production-grade SQL to model clean datasets • Use Python for analysis, data quality checks, lightweight ETL/backfills, API integrations, and automation • Work with on-chain data: parse EVM logs and token transfers, join labeled-address datasets, analyze exchange/bridge flows • Own crypto wallet analytics across the funnel • Partner with Product, Marketing/CRM, Risk/Compliance, and Engineering teams • Design and analyze experiments, cohorts, and attribution • Investigate anomalies and recommend mitigations • Automate recurring reporting and alerting for KPI movements

Job Requirements

  • Minimum 2 years in Business Intelligence or Data Analytics
  • Advanced proficiency with complex joins, window functions, performance optimization, and dimensional data modeling in SQL
  • Expert use of LOD expressions, parameters, actions, data modeling, extract vs. live strategies, and dashboard performance tuning in Tableau
  • Hands-on experience with environments, sources/exposures, testing, documentation, and CI/CD integration in dbt
  • Proficient in analytics and data engineering with Python (e.g., pandas); capable of writing modular, maintainable code, integrating with APIs, and scheduling lightweight jobs
  • Practical understanding of crypto wallets and transaction flows, including custodial vs. non-custodial models and WalletConnect/MetaMask
  • Experience with dbt Cloud, data quality tooling (Great Expectations, Monte Carlo), and workflow orchestration (Airflow, Prefect) preferred
  • 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 preferred
  • Hands-on experience with modern data warehouses and object storage, including ClickHouse, AWS, and Amazon S3 preferred
  • Working knowledge of data governance and privacy standards (e.g., GDPR) preferred
  • Strong understanding of iGaming economics and KPIs: deposits, wagers, hold, GGR/NGR, RTP, bonus efficiency, responsible gaming metrics, and common fraud/AML patterns preferred
  • Familiarity with product analytics platforms (Amplitude, Mixpanel, Google Analytics) preferred.

Benefits

  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

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