Cyber Security Analyst

Jobtailor; Deutschland; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a Cybersecurity Analyst/Researcher to advance threat detection through data analysis in a global support role. You will investigate attacks, analyze traffic with SQL and BI tools, and collaborate with R&D to improve detection systems.

The role emphasizes web security, fraud detection, and hands-on incident response, with responsibilities spanning reporting, automation, and weekend shifts as needed.

Qualifikationen

• 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, CTEs, and subqueries.
• Technical understanding of web technologies and client–server architecture (APIs, HTTP, basic HTML/JavaScript).
• Experience with SIEM systems (Elastic Stack advantageous).
• Strong troubleshooting and problem-solving skills.
• Experience in customer support and direct client communication.
• Strong English communication skills.
• Experience in Cybersecurity Analyst/Researcher roles and threat detection/response is a plus.
• Experience in web security and fraud detection is a plus.
• Experience with research methodologies and dashboards (BI tools).

Aufgaben

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

Kenntnisse

SQL

Data analysis

Cybersecurity

BigQuery

Python

JavaScript

English communication

BI dashboards

Tools

Elastic Stack

BigQuery

Snowflake

Kibana

Looker

Jobbeschreibung

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.