Blockchain Analyst

About This Role

Joining Inca's Investigations Team, this role involves acting as a front-line digital detective, bridging blockchain forensics with traditional intelligence tradecraft to uncover hidden patterns in global crypto activity. The analyst will hunt illicit finance, attribute digital identities to real-world actors, and transform non-standard datasets into defensible intelligence, suiting a relentless problem-solver who can navigate unstructured data to deliver actionable insights.

Responsibilities

• Conduct in-depth blockchain investigations across multiple networks, tracing transactions, identifying patterns, and attributing activity where possible
• Perform open-source intelligence (OSINT) investigations using a wide range of public and proprietary data sources to support attribution, risk assessment, and case development
• Collect and normalize data from blockchain explorers, APIs, public datasets, OSINT sources, and internal systems
• Analyze non-standard, incomplete, and multi-source datasets to identify behavioral patterns, risk indicators, and investigative leads
• Conduct Enhanced Due Diligence (EDD) on entities, wallets, and counterparties to assess risk exposure and identify potential illicit activity
• Build reusable scripts, queries, dashboards, and data workflows for investigation, enrichment, monitoring, and reporting
• Produce clear, concise, and defensible intelligence reports summarizing findings, methodologies, and risk assessments for internal and external stakeholders

Requirements

• Strong working knowledge of blockchain data structures and transaction behavior, including wallet/account models, token transfers, smart contract interactions, DEX activity, bridges, and differences between major blockchain ecosystems, understanding of EVM and non-EVM smart contracts
• Proven experience conducting open-source intelligence investigations, including data collection, validation, attribution techniques, and linking digital identities across platforms
• Experience working with large datasets (structured and unstructured), including filtering, aggregation, and extracting meaningful insights
• Practical experience with web scraping techniques and tools for extracting data from online sources
• Working knowledge of scripting or data tools (e.g., Python, SQL, or similar) to support data extraction, transformation, and analysis
• Ability to assess the credibility of sources, cross-verify information, and distinguish signal from noise in OSINT environments
• Strong written and verbal communication skills, with the ability to present complex findings clearly and defensibly to both technical and non-technical audiences
• Fluent in English

Nice to have:

• Familiarity with automation workflows