BI Analyst Lisboa

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
- tier fintech, crypto and i
Gaming projects. With a mission to shape the future of decentralized technology, we partner with visionary startups to raise funding, refine
- 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
- 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
- driven Business Intelligence Analyst to turn blockchain and product data into clear, actionable insights that drive growth, retention, and risk controls across our
- enabled i
Gaming products. You’ll own the
-
- 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
  - grade SQL (CTEs, window functions, incremental models) to model clean datasets from Click
  House and
  - chain tables.
• Use Python (pandas, seaborn,
  - learn, Sci
  Py) 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
  - address datasets, analyze exchange/bridge flows, gas/fee dynamics, and wallet clustering.
• Own crypto wallet analytics across the funnel (custodial vs.
  - 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 i
  Gaming 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 i
  Gaming strongly preferred.
• Ownership & Impact: Demonstrated ability to build robust analytics infrastructure and scalable
  - 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.
  - custodial models and Wallet
  Connect/Meta
  Mask.

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
  - indexed data; familiarity with contract ABIs and entity/address labeling.
• Hands-on experience with modern data warehouses and object storage, including Click
  House, AWS, and Amazon S3.
• Working knowledge of data governance and privacy standards (e. g. , GDPR), including data minimization and retention policies.
• Strong understanding of i
  Gaming 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).