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 Requirements At least 4 years of experience in data analysis in cybersecurity or fraud detection domains 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 Experience in a Cybersecurity Analyst/Researcher role, ideally supporting external customers in threat detection and response would be a plus Experience in web security and security research: web application security, bot management, fraud detection would be a plus Experience with research methodologies (hypothesis testing, verification and research plan) would be a plus Python and JavaScript knowledge would be a plus Experience with BigQuery/Snowflake would be a plus Proficiency in building dashboards using BI tools (Snowflake, Looker, Kibana, JSM) would be a plus. #J-18808-Ljbffr
