Cyber Security Analyst

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

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)