Security Data Analyst
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Summary
We’re growing and looking to hire an Security Data Analyst Who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
Requirements
- 3+ years of experience in data analytics or security research, with a record of turning big, messy data into insights and decisions.
- Strong SQL and Python, and comfort working at scale with tools like Spark or Databricks.
- Hands-on experience with LLMs: prompting, tool calling, RAG or agents.
- The ability to break a fuzzy question into a structured analysis and explain your reasoning step by step.
- Familiarity with evaluation methods: golden sets, LLM-as-judge, scorer calibration and regression testing.
- A background in cybersecurity, OT/IoT or vulnerability management. (advantage)
- Experience with Databricks, MLflow tracing or evaluation, and Unity Catalog. (advantage)
- Experience building multi-agent systems, or using coding agents such as Cursor in real workflows. (advantage)
- Experience turning analytics work into playbooks or automated insights. (advantage)