Bi Analyst - Remote Lisboa

Bi Analyst - Remote
Lisboa
Lisboa, Lisboa, Portugal

Overview
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. 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
- 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 tocrypto 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
- 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). #J-18808-Ljbffr