Business Intelligence Analyst
Role details
Job location
Tech stack
Job description
Tableau dbt Amplitude ClickHouse Descrição da oferta de emprego About Block Labs
Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong., 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. As a key player in our upcoming business initiatives, you will not only maintain our existing reporting but also help architect our future analytics stack. You'll own the end-to-end analytics pipeline-using SQL, dbt, Python, Amplitude, and a mix of modern BI tools. A major focus of this role will be evaluating and driving a potential transition from Tableau toward open-source alternatives like Metabase or Apache Superset., * BI Strategy & Evolution: Design and iterate on dashboards surfacing core KPIs (GGR/NGR, LTV, churn, conversion). Lead the Proof of Concept (POC) and evaluation process for transitioning our visualization layer to Metabase or Superset.
- High-Performance Modeling: Write production-grade SQL (CTEs, window functions, incremental models) with a heavy focus on performance optimization for ClickHouse and large-scale on-chain datasets.
- Advanced Analytics: Use Python (pandas, seaborn, scikit-learn) for deep-dive analysis, data quality automation, and building lightweight ETL/API integrations with blockchain providers.
- On-Chain Data Ownership: Parse EVM logs and token transfers, analyze wallet clustering, and investigate exchange/bridge flows to understand the "whys" behind player behavior.
- Product & Risk Partnership: Define event schemas for wallet funnels (custodial vs. non-custodial) and collaborate with Risk/Compliance to detect anomalies like bonus abuse or suspicious wallet rings.
- Experimentation: Design and analyze A/B tests and cohorts within the unique constraints of the iGaming and crypto regulatory landscape.
Requirements
Block Labs is hiring a Business Intelligence Analyst in Málaga, Spain. This role focuses on converting blockchain and product data into actionable insights for crypto-enabled iGaming products. Responsibilities include designing dashboards, writing optimized SQL queries, and performing advanced analytics using Python. Candidates should have at least 2 years of relevant experience and expertise in tools like Tableau and ClickHouse. Ideal for those passionate about data analytics in the crypto and iGaming domains., * Minimum 2 years in Business Intelligence or Data Analytics.
- Expert-level proficiency in SQL with performance optimization experience.
- Proficient in Python for data engineering tasks., * Design and iterate on BI dashboards for core KPIs.
- Write production-grade SQL for performance optimization.
- Use Python for deep-dive analysis and data quality automation.
Conhecimentos
SQL Mastery Python BI Versatility Experience in Business Intelligence or Data Analytics, * Experience: Minimum 2 years in Business Intelligence or Data Analytics; prior exposure to crypto or iGaming is a massive plus.
- SQL Mastery: Expert-level proficiency in writing highly performant queries. You should be comfortable optimizing complex joins and modeling data specifically for OLAP engines like ClickHouse.
- BI Versatility: Expert knowledge of Tableau (LODs, parameters, performance tuning) combined with a strong interest or experience in modern, open-source BI tools like Metabase or Apache Superset.
- dbt & Engineering Mindset: Hands-on experience with dbt (environments, testing, CI/CD) and a commitment to data lineage and documentation.
- Python: Proficient in using Python for data engineering tasks, modular code writing, and interacting with APIs.
- Crypto Domain: Practical understanding of transaction flows, gas dynamics, and wallet models (e.g., WalletConnect, MetaMask)., * Infrastructure: Experience with dbt Cloud, workflow orchestration (Airflow/Prefect), and data quality tooling (Great Expectations or Monte Carlo).
- On-Chain Specialized Tools: Previous use of Dune, Flipside, Goldsky, or Nansen; familiarity with contract ABIs and address labeling.
- Modern Data Stack: Hands-on experience with AWS/S3 and managing high-concurrency environments in ClickHouse.
- Domain Knowledge: Strong understanding of iGaming economics (Hold, RTP, Bonus Efficiency) and familiarity with product analytics platforms like Amplitude.