Cyber Security Analyst (US Time Zone)

We’re seeking motivated, sharp-minded professionals to join our team as a Cyber Security Analyst/Researcher. In this role, you’ll collaborate directly with clients, examine traffic patterns, and play a key part in identifying and neutralizing harmful bots and online threats.

Customer

Our customer is a global provider of comprehensive security solutions, protecting individuals, organizations, and communities from a wide range of risks, particularly in the digital space. Their enterprise-focused products specialize in bot defense and invalid traffic detection, helping clients safeguard critical systems and maintain operational integrity.

Project

The project focuses on real-time threat detection and bot mitigation for enterprise-scale clients. Cyber Security Analystes collaborate directly with customers, leveraging advanced analytics platforms to identify malicious traffic patterns and neutralize online threats. This dynamic environment requires both technical expertise and strong communication skills.

Requirements

• At least 4 years of experience in data analysis in cybersecurity or fraud detection domains, including experience with logs and dashboards
• Strong SQL skills: complex queries, aggregations, GROUP BY, ORDER BY, filters, window functions (e.g., RANK()), CTEs, and subqueries
• Technical understanding of web technologies and client–server architecture (APIs, HTTP, basic HTML/JavaScript)
• Experience with SIEM systems (experience with the Elastic Stack would be an advantage)
• Strong troubleshooting and problem-solving skills
• Experience in customer support, including direct communication with clients; professionalism and politeness are essential
• Strong English communication skills

Would be a plus

• Experience in a Cybersecurity Analyst/Researcher role, ideally supporting external customers in threat detection and response
• Experience in web security and security research: web application security, bot management, fraud detection
• Experience with research methodologies (hypothesis testing, verification and research plan)
• Python and JavaScript knowledge
• Experience with BigQuery/Snowflake
• Proficiency in building dashboards using BI tools (Snowflake, Looker, Kibana, JSM)

Personal Profile

• High level of responsibility and ownership
• Ability to work independently with minimal supervision
• Analytical mindset with a data-driven approach to decision-making
• Genuine interest in data, cybersecurity, and delivering high-quality customer service
• Proactive communicator who keeps stakeholders informed without being prompted

Responsibilities

• Investigate advanced and persistent attacks using data analysis and data science tools
• Analyze customers’ web traffic to detect unidentified threats and reduce false positives using Elasticsearch and BigQuery
• Research, design, and continuously enhance detection mechanisms to stay ahead of evolving threats
• Provide real-time technical support to global customers, delivering professional and timely incident responses
• Produce clear, insightful incident reports
• Collaborate cross-functionally with R&D and Research teams to optimize the company’s detection and mitigation capabilities
• Design, plan, and implement internal automation projects to improve team efficiency
• Work in a shift-based schedule, including weekends

As this position is for a US-based client, please pay close attention to the working schedule: If you are located in Ukraine (GMT+3), the possible working hours are 7:00 PM – 4:00 AM or 1:00 AM – 10:00 AM. 

Hiring process: 

• Stage 0: Recruitment pre-screen (30 minutes)
• Stage 1: Technical interview (1.5 hours)
• Stage 2: Test task
• Stage 3: Technical client interview (1 hour)
• Stage 4: Second technical client interview (1 hour)
• Stage 5: Soft skills interview on the client side (30 minutes)
• Stage 6: Final interview (optional)