Security Data Analyst
Real-time onchain security platform for wallets, dApps, protocols, exchanges, banks, and digital-asset institutions.
Maintainer signals as of 9/25/2026
Funding history
Projects
About Blockaid Ltd.
Blockaid provides end-to-end Web3 security through transaction simulation, address, token and dApp scanning, onchain monitoring, crypto-fraud prevention, policy enforcement, compliance risk exposure, and automated response. Its APIs, SDKs, and platform workflows help protect users and institutional operations from scams, fraud, exploits, malicious assets, compliance exposure, and operational errors.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
As a Security Data Analyst within Blockaid's R&D team, you will analyze complex datasets, uncover trends, develop scalable data processes, build dashboards and KPIs, and translate business questions into analytical models and data visualizations that support operational and strategic goals.
Requirements
- 5+ years of Data/Security Analytics experience with a foundation in cybersecurity or forensic research.
- Expert-level SQL and high proficiency in Python.
- Experience with data visualization platforms such as Tableau and Looker.
- Strong analytical mindset, attention to detail, and ability to solve complex, ambiguous data problems.
- Legal right to work in Israel without visa sponsorship; visa sponsorship is not offered.
- Equal Opportunity Employer.
Responsibilities
- Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
- Analyze large datasets to provide recommendations supporting operational and strategic goals.
- Develop scalable data processes and infrastructure for internal stakeholders.
- Build and maintain dashboards, reports, and KPIs to monitor and improve performance.
- Translate business questions into analytical models and create data visualizations.
- Partner with cross-functional teams to understand business needs and design data-driven solutions.