Data Analyst

Grip Security is looking for a Data Analyst to join our community!

We are a fast-growing startup in the software-as-a-service and AI Security industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)

Using the newest technologies, we're working on solving a huge problem all enterprises face today; to govern the accessibility of all its employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and to make sure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.

The job:

As a Data Analyst, you will work with multiple stakeholders - Product Managers, Data Engineers, Software 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. Grip discovers 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:

• Take part in our features development process - building warehouse models and writing our data catalog.
• Leading long term research to provide innovative insights for our product.
• Define and implement data processing and operative workflows.
• Work with relevant Grip stakeholders to define how our system should be monitored and how root causes of underperformance can be identified.
• Contribute to a culture of learning and knowledge-sharing within the team.

Requirements:

• At least 4 years of experience as a Data/Research Analyst in the high-tech industry.
• Proven experience designing and building data models in a modern data warehouse environment, with hands-on experience using DBT or similar data transformation frameworks.
• Proven experience in leading analysis projects end-to-end - from understanding stakeholders needs to defining data requirements, conducting analysis and providing relevant recommendations.
• 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.