Data Analytics Engineering
Job Summary
Job Description
As cybercriminals become more sophisticated, Varonis is seeking a Data Analytics Engineer to protect data from the inside out. The role involves analyzing and optimizing raw data, developing dashboards, and identifying new ways to create value for users. The engineer will also provide insights to various teams, improve product visibility, and monitor customer environments. Collaboration with other departments and experience with data collection techniques are also crucial. The role offers a flexible, hybrid model, allowing for a good home-office balance.
Must have:
- 4+ years of SQL, data analysis, and visualization experience
- 4+ years of strong scripting experience
- Experience with monitoring tools
- Understanding of statistical data
- Self-learning and infinite curiosity
- Strong troubleshooting and problem-solving skills
Good to have:
- Experience with AZURE or other cloud solutions
- Kusto Query language – an Advantage
- Experience working with Analytics tools
- Statistical analysis experience (e.g. Python)
- Experience with Artificial Intelligence
9 skills required
Job Details
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:
- 4+ years of experience in SQL, data analysis and visualization
- 4+ 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
We invite you to check out our Instagram Page to gain further insight into the Varonis culture!
@VaronisLife
Varonis is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics
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