JOB DETAILS

Analytics Engineer

CompanyVega
LocationTel Aviv
Work ModeOn Site
PostedJanuary 18, 2026
About The Company
We're redefining the boundaries of Security Operations by eliminating the limits and compromises of the past. Founded in 2024, Vega is on a mission to help organizations harness the power of all of their data. Wherever it is. Whatever it is. Without any of the taxes that have plagued SIEM and Data Lakes for the past 20 years. Backed by Cyberstarts, Accel, Redpoint and CRV, Vega offers a lightweight Security Analytics fabric that introduces a new, AI-native, approach to interacting with security data wherever it sits, giving analysts complete visibility and detection coverage, without a single migration, replacement or compromise.
About the Role

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
Key Skills
AnalyticsData EngineeringSQLData ModelingData WarehousingELTETLBusiness IntelligenceLookerPower BITableauMetabaseAnalytical MindsetBusiness AcumenFast-Paced EnvironmentsTechnical Decision Making
Categories
TechnologyData & AnalyticsSecurity & Safety
Job Information
📋Core Responsibilities
The Analytics Engineer will design, build, and own Vega’s analytics stack end-to-end, including data ingestion, modeling, and dashboards. They will also partner with leadership to define KPIs and perform deep analysis to identify trends and growth opportunities.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
103
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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