Analytics Engineer at Vega

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

04 Apr, 26

Salary

0.0

Posted On

04 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics, Data Engineering, SQL, Data Modeling, Data Warehousing, ELT, ETL, Business Intelligence, Looker, Power BI, Tableau, Metabase, Analytical Mindset, Business Acumen, Fast-Paced Environments, Technical Decision Making

Industry

Computer and Network Security

Description

We're Vega! One of the fastest growing start-ups in Cybersecurity - redefining the limits of Security Analytics and Operations. We've raised a $65M Series A from Cyberstarts, Accel, Redpoint and CRV, to build a platform that will become the new AI-Native operating system for the SOC. We're already making a huge impact on some of the world's largest companies - improving their detection, unlocking their data and saving them money. Want to join us and be a part of the journey? This is your chance! 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

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.