Technical Data Analyst

SummaryData 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 requestsDevelopment of dashboards, KPIs and metricsSomeone to come up with new ways to use our data to create value for our usersSomeone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and researchAbility 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 productMonitoring customers env. logs and product metrics to alert about changes/issuesMonitor customers on-prem and Cloud production environmentsCollaborate 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 techniquesRequirements:2+ years of experience in SQL, data analysis and visualization2+ years of strong scripting experienceExperience with monitoring tools such as DataDog, New Relic, Grafana, PrometheusUnderstanding of statistical dataSelf-learning and infinite curiosityStrong troubleshooting and problem-solving skillsExperience with AZURE or other cloud solutions - an advantageKusto Query language – an AdvantageExperience working with Analytics toolsExcellent teamwork skills and the ability to work autonomouslyStatistical analysis experience (e.g. Python)Experience with Artificial Intelligence - an advantage