Data Analytics Engineer

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.

About The Role

We are looking for a Data Analytics Engineer to join our team and drive data-driven decision-making across the organization.

This role combines technical expertise, analytical thinking, and collaboration to deliver high-quality solutions all over the company

Key Responsibilities

• Analyze data to optimize raw and metadata for business needs.
• Translate requirements into scalable technical solutions.
• Define and track KPIs to measure performance and guide decisions.
• Create dashboards, deliver insights and actionable recommendations to stakeholders.
• Collaborate with engineering to improve product quality and visibility.
• Develop monitoring strategies and automate workflows for efficiency.
• Create queries for alerts to detect anomalies, issues, and security threats.
• Troubleshoot and resolve issues, escalating when necessary.
  
  

• 3+ years as a Data Analyst
• 2+ years of strong SQL proficiency for data manipulation and querying
• Experience with monitoring tools ( Grafana, Datadog, Prometheus, New Relic)
• Knowledge of statistical analysis techniques
• Strong troubleshooting, communication, and collaboration skills
• Self-learning mindset and curiosity
• Ability to work independently and as part of a team
  
  

• Proficiency in Kusto Query Language (KQL)
• Experience with Azure, AWS, or other cloud platforms
• Exposure to AI and machine learning concepts