Security Data Analyst
Blockaid is an onchain security platform that helps organizations prevent scams, fraud, exploits, and compliance risks in real time. It serves wallets, dApps, protocols, exchanges, banks, asset managers, and other companies operating onchain.
Projects
About Blockaid
Blockaid provides enterprise Web3 security products for end-user protection, onchain monitoring, crypto-fraud prevention, transaction screening, and policy enforcement for multisig and MPC wallets. Its platform combines direct wallet and dApp integrations, onchain and offchain threat intelligence, machine-learning-based detection, APIs, SDKs, and automated response workflows. Customers include chains, protocols, wallet providers, exchanges, financial institutions, and asset managers that need to monitor activity, identify threats, and block or respond to risky transactions before execution.
Skills
About the Role
You will identify, analyze, and interpret trends in complex datasets to uncover actionable insights. You will analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals. You will develop scalable data processes and infrastructure to support internal stakeholders. You will build and maintain dashboards, reports, and KPIs to monitor and improve performance. You will translate business questions into analytical models and craft compelling data visualizations that tell the story. You will partner with cross-functional teams to understand business needs and design data-driven solutions.
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 (Tableau, Looker) to build impactful dashboards.
- Legal right to work in the country where the position is based; 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 clear, impactful recommendations that support operational and strategic goals.
- Develop scalable data processes and infrastructure to support internal stakeholders.
- Build and maintain dashboards, reports, and KPIs to monitor and improve performance.
- Translate business questions into analytical models and craft compelling data visualizations that tell the story.
- Partner with cross-functional teams to understand business needs and design data-driven solutions.
