At LayerX Security, we’re building the next generation of browser-native security powered by data and AI. Our Senior Data Analysts are central to shaping how we understand and act on real-world threats - turning complex security and user behavior data into actionable insights that drive product strategy and customer value. You will work at the intersection of data, security research, and product, delivering analysis that informs key decisions and elevates our threat detection capabilities.

LayerX Security:

LayerX’s user-first browser security platform turns any browser into the most protected & manageable workspace by providing real-time monitoring and governance over users’ activities on the web. We protect the enterprise’s applications, data, and devices from web-borne risks with near-zero impact on user experience.

Our Values – What We Believe In:

• Autonomy and Empowerment – Our engineers are responsible for delivering impact all the way from idea through to design, architecture, infrastructure, and delivery to production.
• ⁠Openness and Transparency – There are no walls; we are all in this together.
• No Fear – We welcome working in new domains and learning new technologies. There are no disciplines; we do what it takes to succeed!
• ⁠Excellence – Using the best technologies and writing reliable, scalable, and robust components.
• Data Wins Arguments – We are data-driven and focused. Get the data and act on it!
• User Privacy – Protecting users and organizations is extremely important to us, and user privacy is a top priority as well.
• ⁠Friendship and Fun – Teamwork is at the center of our methodology. We work as a team on problems and challenges, and fun is a big part of that as well!
  
  

Responsibilities:

• Lead security & threat behavior analysis, finding patterns and insights in large event datasets.
• Drive customer / user behavior analysis to help product and CS teams understand usage and risk signals.
• Produce executive-level reporting and decision support that influences product roadmap and company strategy.
• Translate messy data into clear narratives that shape product direction and stakeholder decisions.
• Build and maintain SQL-based data models and datasets to support analytical needs.
• Work with cross-functional teams (Product, CS, Security Research) to identify analytic opportunities and deliver actionable insight.
• Define and refine analytics standards, metrics, and dashboards that scale across teams.
  
  

Requirements:

• 5+ years experience in analytics, data analysis, or related role.
• Deep proficiency with SQL and experience building robust data models.
• Strong foundation in Python for analysis and data processing.
• Experience in cybersecurity analytics, threat behavior analysis, or security event investigation.
• Ability to turn complex datasets into clear recommendations and strategic insights.
• Experience working in a fast-moving, product-centric environment.
• Excellent communication and collaboration skills - you’ll be translating technical insights for non-technical partners.
  
  

Advantages

• Experience with production-ready data pipelines and automation.
• Familiarity with BI / dashboard tools (Looker, Superset, etc.).
• Exposure to scalable / big data environments.
• Background in cross-functional execution with Product and Research teams.
• Prior work in cybersecurity companies or security research teams.