Summary

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations become stricter, organizations struggle to answer one key question: “Is my data safe?”

At Varonis, we see the world of cybersecurity differently. Instead of chasing threats, we believe that the most practical approach is to protect data from the inside out. We’ve building the industry’s first fully autonomous data security platform to help our customers dramatically reduce risk with minimal human effort.

At Varonis, we move fast. We’re an ultra-collaborative company with brilliant people who care deeply about the details. Together, we’re solving interesting and complex puzzles to keep the world’s data safe.

We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.

What we’re looking for:

• Analyze and optimize raw and metadata based on company requests and business needs.
• Translate requirements into effective solutions, coordinating internal and external resources to achieve desired outcomes.
• Define key performance indicators (KPIs) ,interpret data using statistical techniques , and conduct data analysis to support business decisions.
• Implement tracking and data collection methods, utilizing statistical techniques as needed.
• Develop dashboards, key performance indicators (KPIs), and metrics for products, features, and infrastructure.
• Provide insights and suggestions to stakeholders by conducting in-depth analysis and research.
• Collaborate with engineering teams to enhance product visibility, serviceability, and quality.
• Implement monitoring strategies and automate tasks to provide rapid feedback and diagnostics.
• Monitor logs and metrics and create alerts to detect changes, issues, and potential attacks in production environments.
• Develop and manage data pipelines, ETL processes, SQL procedures, and Python configuration scripts.
• Perform troubleshooting and analysis, escalating issues as necessary and collaborating on cross-team issues.
• Skills: KPI Reporting
• Product Analysis
• Data Visualization, Strategic Thinking
• Problem Solving
• Data Analytics
• Critical Thinking Looker
• Data Modeling
• SQL ,Analytical Skills, Attention to Detail
  
  

Requirements:

• Proven experience as a Data Analyst, in a technical environment- MUST
• 4+ years of strong proficiency in SQL for data manipulation and querying
• 2+ years of strong scripting experience
• Experience with AZURE or other cloud solutions - an advantage
• Kusto Query language – an Advantage
• Experience with data visualization tools (e.g. ,Grafana, Power BI) and statistical analysis techniques (e.g. Python).
• Familiarity with tracking and data collection methods, and ETL processes.
• Experience with Artificial Intelligence - an advantage
• Strong troubleshooting ,excellent communication, problem-solving, and collaboration skills.
• Self-learning and infinite curiosity
• Excellent teamwork skills and the ability to work autonomously.