Security Data Analyst
Blockaid is an onchain security company providing real-time protection against scams, fraud, exploits, and compliance risks. Its platform serves financial institutions, protocols, wallets, exchanges, banks, asset managers, and end users through monitoring, transaction security, fraud prevention, and policy enforcement products.
Funding history
Projects
About Blockaid
Blockaid operates an onchain security platform that combines direct wallet and dApp integrations, transaction screening, threat intelligence, onchain monitoring, detection, and automated response. Its products protect transactions, addresses, tokens, dApps, smart contracts, wallets, infrastructure, and operational workflows. Blockaid serves Web3 wallets, dApps, protocols, exchanges, banks, fintechs, payment providers, asset managers, and trading firms, offering APIs, SDKs, and dedicated engineering support.
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.
