[Hiring] Business Intelligence Analyst @Block Labs

Role Description

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.

• 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

• Minimum 2 years in Business Intelligence or Data Analytics; prior exposure to crypto or iGaming strongly preferred.
• Demonstrated ability to build robust analytics infrastructure and scalable self-serve data products.
• 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 (e.g., pandas); capable of writing modular, maintainable code, integrating with APIs, and scheduling lightweight jobs in Python.
• 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.