Data Analyst - Physical Infrastructure

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a Data Analyst to join SpaceXAI's Infrastructure team responsible for building and operating world-class datacenters and power generation facilities. In this role, you will analyze power and cooling performance data, develop forecasts for utility consumption and costs, build and maintain business analytics dashboards, and deliver data-driven insights to optimize our rapidly expanding physical infrastructure for AI supercomputing. RESPONSIBILITIES: Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants Build and refine forecasting models for electricity, water, and other utility consumption to support budgeting, planning, and procurement Design, develop, and maintain interactive business intelligence dashboards and reports (using tools such as Seeq, Tableau, Power BI, Looker, or similar) Identify trends, anomalies, inefficiencies, and optimization opportunities in power distribution and cooling systems Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering and operational improvements Support infrastructure expansion planning through scenario analysis, capacity modeling, and cost projections Automate data collection pipelines and reporting processes to enable real-time visibility and decision making Present clear, actionable insights and recommendations to cross-functional teams and leadership BASIC QUALIFICATIONS: 4+ years of professional experience in data analysis, business intelligence, or analytics engineering Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling Hands-on experience building dashboards and visualizations with Tableau, Power BI, Looker, or equivalent Solid foundation in statistics, time-series analysis, and forecasting techniques Experience working with large datasets and building scalable reporting solutions Excellent written and verbal communication skills PREFERRED SKILLS AND EXPERIENCE: Background in energy, utilities, datacenters, critical infrastructure, or industrial facilities Familiarity with SCADA systems, building management systems (BMS), or IoT sensor data Experience with cloud data platforms (Snowflake, BigQuery, AWS/GCP/Azure data services) Knowledge of power systems, HVAC/cooling efficiency metrics (PUE, WUE, etc.), or energy modeling Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field #J-18808-Ljbffr