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

Requirements:

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