Security Data Analyst
Blockaid is a web3 security platform that provides real-time protection against scams, fraud, exploits, and compliance risks. Its customers include chains, protocols, wallets, exchanges, banks, fintechs, and digital asset managers.
Funding history
Projects
About Blockaid LTD.
Blockaid provides enterprise-grade onchain security products and services, including transaction, address, token, and dApp scanning; end-user protection; onchain monitoring; crypto fraud prevention; Cosigner transaction policy enforcement; and Risk Exposure compliance tools. Its platform uses threat intelligence, onchain and offchain data, machine learning, APIs, SDKs, alerts, automated workflows, and investigation capabilities to help organizations detect and prevent malicious activity. Blockaid serves wallets, decentralized applications, exchanges, DeFi protocols, asset managers, traders, banks, payment providers, and other companies operating onchain.
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.
