Technical Data Analyst

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:

• Analysis and optimization of raw/metadata according to the company requests
• Development of dashboards, KPIs and metrics
• Someone to come up with new ways to use our data to create value for our users
• Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
• Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
• Work with our engineering teams to improve the visibility, serviceability, and quality of our product
• Monitoring customers env. logs and product metrics to alert about changes/issues
• Monitor customers on-prem and Cloud production environments
• Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
• Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
• Familiarity and/or implementation experience with tracking and data collection techniques
  
  

• 2+ years of experience in SQL, data analysis and visualization
• 2+ years of strong scripting experience
• Experience with monitoring tools such as DataDog, New Relic, Grafana, Prometheus
• Understanding of statistical data
• Self-learning and infinite curiosity
• Strong troubleshooting and problem-solving skills
• Experience with AZURE or other cloud solutions - an advantage
• Kusto Query language – an Advantage
• Experience working with Analytics tools
• Excellent teamwork skills and the ability to work autonomously
• Statistical analysis experience (e.g. Python)
• Experience with Artificial Intelligence - an advantage