Cyber Data Analyst

We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team. The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases. This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.

Responsibilities:

• Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
• Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
• In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
• Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
• Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
• Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.
  
  

• Proven experience working with structured and unstructured data, and familiarity with databases such as GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
• Expertise in Python for data exploration, analysis, and visualization.
• Solid understanding of cybersecurity principles and experience in applying them to data analysis.
• Experience in machine learning, deep learning, and large language models is highly desirable.
• Strong analytical and problem-solving skills, with the ability to communicate complex data insights clearly and effectively.
• Excellent collaboration and communication skills, with a proven track record of working effectively in team environments.
• Bachelor’s degree in Computer Science, Cybersecurity, or a related field is a plus.
• Cybersecurity threat intelligence background and proficiency in webint is a plus.