Lead Data Analyst

About us

SeeMetrics is a cybersecurity performance management platform for security leaders to see, track, and improve operations. SeeMetrics monitors the performance and efficiencies of cyber security products and provides actionable insights for stack optimization. The platform empowers CISOs and security leaders with an independent, easy-to-use, and real-time view of their current cyber operations while unifying all metrics into a single source of truth. Once connected to SeeMetrics, organizations gain a constant view of their security efficiencies, minimize blind spots, simplify cumbersome analysis, reduce costs, and improve cyber routine governance.

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You are:

• Passionate for both the cybersecurity field and data analysis
• A great team player with a can-do approach
• A self-driven autodidact with a curious mind, an innovative spirit, and the ability to work independently in a fast-paced environment
• Proven experience in a growing, fast-paced startup

You will:

• Be part of the cyber security team and drive data-driven decisions
• Research and analyze cyber security product APIs before R&D integrates them into the product
• Provide detailed analyses of cyber security product data model and API documentation
• Work closely with R&D to tune the data pipeline and normalization processes
• Utilize SeeMetrics data analysis infrastructure to discover new security insights and trends
• Process and analyze large-scale data, extract data, create statistics, arrive at conclusions, and discover new security insights
• Analyze and provide insights based on offline data (Excel, CSV, etc)

You have:

• At least 3 years of experience as a data analyst in a growing startup
• At least 2 years of experience in the cybersecurity field
• Knowledge and experience with SQL and any programming language (Python, Javascript, Excel, etc.)
• An understanding of APIs structure and authentication flows
• Passion for data, cyber security, and an analytic mindset
• Positive attitude, customer focus, and a strong sense of ownership over customer results
• Strong written and verbal communication skills in English
• B.Sc. in computer science, information systems, data science, or equivalent – an advantage