Analytics Engineer

Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber.

We’re looking for a Founding Analytics Engineer to be our first data hire at Vega and build our analytics and data foundation from the ground up.

This is a hands-on, high-impact role for someone who combines strong technical data skills with business thinking. You will design, build, and own Vega’s analytics stack end-to-end- from data ingestion and modeling, through dashboards and metrics, to partnering with leadership on data-driven decisions. As the first analytics hire, you’ll play a critical role in shaping how Vega measures success and operates as a metrics-driven company.

WHAT YOU WILL DO

• Design, build, and own Vega’s analytics stack end-to-end (data warehouse, ELT, modeling, BI)
• Set up and manage a central data warehouse and integrate all operational systems
• Build reliable data models and metrics that serve as a single source of truth
• Define company-wide KPIs and business metrics in partnership with leadership
• Develop dashboards and self-serve analytics for executives and cross-functional teams
• Perform deep analysis to identify trends, bottlenecks, and growth opportunities
• Ensure high data quality, accuracy, and consistency across all analytics
• Partner closely with BizOps, Sales, Marketing, GTM, Product, Finance, and R&D
• Help establish best practices for analytics, documentation, and data culture

Requirements

WHAT YOU WILL BRING

• 4+ years of experience in analytics, BI, or analytics engineering roles
• Excellent SQL skills and strong experience with data modeling
• Hands-on experience building or owning data warehouses (BigQuery, Snowflake, Redshift, etc.)
• Experience with ELT/ETL pipelines and analytics infrastructure
• Experience with BI tools such as Looker, Power BI, Tableau, Metabase, or similar
• Strong analytical mindset and business acumen
• Comfortable working independently and making technical decisions
• Thrives in fast-paced environments and enjoys building things from scratch