data Analyst

we are pioneering the Autonomous Execution Layer for Cloud data & AI Workloads. Our platform dynamically orchestrates clusters, predicts workload bottlenecks, scales resources in real time, and auto-heals infrastructure anomalies for data -intensive and agentic workloads -with zero human intervention. Operating in live production across global enterprise customers, our company delivers mission-critical resilience, sub-second optimization, and true zero-touch infrastructure Why Join Us Scale-Up Velocity, Core Team Ownership: Backed by top-tier VCs, scaling fast, and running live in Fortune 500 & enterprise production environments, we combine scale-up stability with the high impact, rapid iteration, and meaningful equity upside of an elite core team.

Deep Tech & AI-Native Culture: We solve the hardest cloud infrastructure and telemetry challenges. You wont just build dashboards-you will own production-grade data products and drive the core intelligence powering our autonomous engine.

Key Responsibilities Dive deep into massive enterprise-scale telemetry and workload datasets to uncover patterns, optimize cloud execution, and steer core product decisions.

Design, build, and maintain production-grade data pipelines, analytics models, and internal platforms supporting Real-Time autonomous systems.

Partner directly with engineering and leadership to translate complex multi-cloud performance metrics into actionable platform intelligence Develop robust data modeling frameworks, statistical analyses, and high-impact visual interfaces to measure system efficiency and model accuracy.

What We Offer Top-of-Market Compensation: Highly competitive base salary benchmarking top-tier startup talent.

Significant Equity: Meaningful early-stage equity grants positioned above market standard.

Pure Technical Impact: High agency, zero bureaucracy, and direct ownership over core data infrastructure. Ready to shape the data engine behind autonomous AI workloads? Hit Apply.Requirements: Requirements 3 years of hands-on experience in data Analytics / Product Analytics (relevant elite military tech unit experience strongly counts).

Advanced, production-level SQL and strong scripting/analytical capabilities in Python Proven track record of working with large-scale datasets, building scalable data models, and delivering end-to-end data products.

Strong background in applied statistics, exploratory data analysis, and technical storytelling.

Sharp analytical mindset with high ownership, speed of execution, and problem-solving drive.

Preferred Qualifications Prior service in an elite IDF technology/intelligence unit (e.g., 8200, Mamram, Matzpen).?Hands-on experience with modern Big Data & Cloud ecosystems: Databricks, Snowflake, Apache Spark, AWS Athena, dbt, or Retool Deep understanding of cloud infrastructure metrics, compute engines, or MLOps/AIOps telemetry B.Sc. in a STEM field ( Computer Science, Industrial Engineering, Statistics, Mathematics, or equivalent).This position is open to all candidates.