Senior Intelligence Analyst

Zscaler Red Canary

2d•Remote

About The Position

Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. The Red Canary Intelligence Team conducts in-depth analysis to provide context and help prioritize where to focus detection and response efforts. As a key contributor, you will investigate raw telemetry, analyze suspicious and confirmed threats, and conduct open-source research to associate activity with known adversaries. A significant focus is on modeling and analyzing in the Synapse graph database. Curiosity, adaptability, and a passion for addressing evolving threats will be vital for success in this dynamic, mission-driven team. We're looking for an experienced Senior Intelligence Analyst to join our Intelligence team. Reporting to the Senior Manager, Intelligence, you'll be responsible for:

Requirements

Strong analytical and problem-solving skills, including the ability to synthesize complex and contradictory information, specifically through utilizing graph databases, or with query languages and data platforms such as SQL, Splunk, Elasticsearch, or Synapse Storm
Knowledge of cyber threat intelligence concepts including attribution, group naming, making assessments, and pivoting. Familiarity with the mechanics of attack behaviors and MITRE ATT&CK ®.
Experience tracking adversaries, including threat groups, activity groups, or malware families, and ability to differentiate unique and shared characteristics of clusters.
Outstanding communication skills, both written and verbal, including the ability to communicate technical concepts in a clear, succinct fashion to subject matter and non-subject matter experts alike.
Experience in Intelligence, Security Operations Center (SOC), Digital Forensics and Incident Response (DFIR), or other security-focused roles

Nice To Haves

Proven leadership mentoring team members and contributing to the development of intelligence analysis expertise.
Experience in threat hunting, endpoint telemetry analysis, and/or Detections Development.
Experience performing dynamic analysis and triage on suspected malicious samples for the purpose of confirming malicious behavior and to extract relevant indicators of compromise and other findings

Responsibilities

Utilizing Synapse and Storm Query Language for data modeling and analytic workflows to identify patterns and trends that can be disseminated to customers
Investigating telemetry to identify new activity clusters based on analysis of malicious and suspicious behaviors and activity observed across our customer base
Conducting open and closed source research to analyze threat patterns and trends, writing actionable intelligence products to customers and the community to communicate TTPs, detection coverage, and remediation strategies
Actively engaging with internal teams, external partners, customers, and the infosec community to share knowledge and enhance collaboration
Validating Red Canary’s endpoint, cloud, and identity detection coverage against the continuously evolving threat landscape and identify unique or emerging threats to build detection coverage for. Recommending solutions to visibility gaps in telemetry and data sources