As a Data Analyst, you will work with multiple stakeholders – Product Managers, Data Engineers, Data Scientists and more, to help us make more from our data.
Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. We discover and classifies risk across SaaS and web apps, uncovering risk prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.
Responsibilities:
Leading long term research to provide innovative insights for our product.
Take part in our warehouse modeling and writing our data catalog, enabling data democratization across the entire organization.
Define and implement data processing and operative workflows.
Work with relevant stakeholders to define how our system should be monitored and how root causes of underperformance can be identified.
Work closely with our data engineers and data scientists on maintaining and improving our models.
Contribute to a culture of learning and knowledge-sharing within the team.
At least 5 years of experience as a Data/Research Analyst in the high-tech industry.
Proven record in leading analysis projects end-to-end – from understanding stakeholders needs to defining data requirements, conducting analysis and providing relevant recommendations.
Experienced working with Data warehouse or Data lake architectures.
High proficiency in SQL and visualizations tools.
Knowledge in Python and data analysis packages (e.g. Pandas).
Responsible, fast-learner and highly motivated.
Independent and problem-solve mindset.
