ORCA Security Data/Product Analyst Israel, Tel-Aviv District, Tel-Aviv 487878962
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- High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
- Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
- Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
- Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
ABOUT THE ROLE
As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.
In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack—writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.
ABOUT YOU
- 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
- Proven experience in SQL writing, specifically in querying large and complex data sets
- Experience in BI tools and in DBT / Python
- Looker proficiency – an advantage
- Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
- B.Sc./BA in industrial/information systems engineering, statistics or equivalent
- Experience in operational or cross-department roles – an advantage
- Great communication skills
- Business orientation and a passion for data analytics
- High level of spoken and written English
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